Overview

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Dataset statistics

Number of variables192
Number of observations214
Missing cells7677
Missing cells (%)18.7%
Total size in memory314.2 KiB
Average record size in memory1.5 KiB

Variable types

Text5
Numeric147
DateTime3
Unsupported1
Boolean36

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetMongolia" Constant
w2_lastpage has constant value "7" Constant
w2_B02_5 has constant value "False" Constant
w2_B02_8 has constant value "False" Constant
w2_A05_3 is highly imbalanced (74.8%) Imbalance
w2_A05_4 is highly imbalanced (56.8%) Imbalance
w2_B02_2 is highly imbalanced (79.2%) Imbalance
w2_B02_7 is highly imbalanced (86.6%) Imbalance
w2_C06_3 is highly imbalanced (52.2%) Imbalance
w2_C06_4 is highly imbalanced (77.0%) Imbalance
w2_C07_2 is highly imbalanced (89.4%) Imbalance
w2_C07_3 is highly imbalanced (89.4%) Imbalance
w2_C07_5 is highly imbalanced (68.8%) Imbalance
w2_D06_1 is highly imbalanced (95.7%) Imbalance
w2_D06_2 is highly imbalanced (72.8%) Imbalance
w2_refurl has 214 (100.0%) missing values Missing
w2_A01_other has 184 (86.0%) missing values Missing
w2_A02 has 10 (4.7%) missing values Missing
w2_A03 has 14 (6.5%) missing values Missing
w2_A04 has 10 (4.7%) missing values Missing
w2_A06_2 has 6 (2.8%) missing values Missing
w2_B01_1 has 4 (1.9%) missing values Missing
w2_B01_2 has 10 (4.7%) missing values Missing
w2_B01_3 has 11 (5.1%) missing values Missing
w2_B01_4 has 8 (3.7%) missing values Missing
w2_B01_5 has 10 (4.7%) missing values Missing
w2_B01_6 has 8 (3.7%) missing values Missing
w2_B01_7 has 10 (4.7%) missing values Missing
w2_C02 has 145 (67.8%) missing values Missing
w2_C05_3 has 3 (1.4%) missing values Missing
w2_C05_4 has 4 (1.9%) missing values Missing
w2_C05_6 has 3 (1.4%) missing values Missing
w2_C08 has 4 (1.9%) missing values Missing
w2_C10_1 has 25 (11.7%) missing values Missing
w2_C10_2 has 23 (10.7%) missing values Missing
w2_C10_3 has 21 (9.8%) missing values Missing
w2_C10_4 has 20 (9.3%) missing values Missing
w2_C10_5 has 21 (9.8%) missing values Missing
w2_C10_6 has 20 (9.3%) missing values Missing
w2_C10_7 has 20 (9.3%) missing values Missing
w2_C11 has 20 (9.3%) missing values Missing
w2_C12_1 has 19 (8.9%) missing values Missing
w2_C12_2 has 19 (8.9%) missing values Missing
w2_C12_3 has 19 (8.9%) missing values Missing
w2_C12_4 has 21 (9.8%) missing values Missing
w2_C12_5 has 20 (9.3%) missing values Missing
w2_D03_1 has 89 (41.6%) missing values Missing
w2_D03_2 has 87 (40.7%) missing values Missing
w2_D03_3 has 91 (42.5%) missing values Missing
w2_D03_4 has 89 (41.6%) missing values Missing
w2_D03_5 has 88 (41.1%) missing values Missing
w2_D03_6 has 91 (42.5%) missing values Missing
w2_D03_7 has 89 (41.6%) missing values Missing
w2_D03_8 has 87 (40.7%) missing values Missing
w2_D04 has 83 (38.8%) missing values Missing
w2_D05_1 has 85 (39.7%) missing values Missing
w2_D05_2 has 88 (41.1%) missing values Missing
w2_D05_3 has 92 (43.0%) missing values Missing
w2_D06_other has 208 (97.2%) missing values Missing
w2_D07_1 has 84 (39.3%) missing values Missing
w2_D07_2 has 84 (39.3%) missing values Missing
w2_D07_3 has 85 (39.7%) missing values Missing
w2_D07_4 has 84 (39.3%) missing values Missing
w2_D07_5 has 86 (40.2%) missing values Missing
w2_E01_1 has 5 (2.3%) missing values Missing
w2_E01_2 has 5 (2.3%) missing values Missing
w2_E01_3 has 4 (1.9%) missing values Missing
w2_E01_4 has 5 (2.3%) missing values Missing
w2_E01_5 has 6 (2.8%) missing values Missing
w2_E01_6 has 4 (1.9%) missing values Missing
w2_E02_1 has 3 (1.4%) missing values Missing
w2_E02_2 has 5 (2.3%) missing values Missing
w2_E02_3 has 4 (1.9%) missing values Missing
w2_E02_4 has 4 (1.9%) missing values Missing
w2_E02_5 has 4 (1.9%) missing values Missing
w2_F02_1 has 3 (1.4%) missing values Missing
w2_F02_2 has 3 (1.4%) missing values Missing
w2_F02_3 has 3 (1.4%) missing values Missing
w2_F02_4 has 6 (2.8%) missing values Missing
w2_F02_5 has 3 (1.4%) missing values Missing
w2_F02_6 has 3 (1.4%) missing values Missing
w2_F02_7 has 3 (1.4%) missing values Missing
w2_F02_8 has 4 (1.9%) missing values Missing
w2_F02_9 has 3 (1.4%) missing values Missing
w2_F02_10 has 4 (1.9%) missing values Missing
w2_F02_11 has 3 (1.4%) missing values Missing
w2_F02_12 has 3 (1.4%) missing values Missing
w2_F02_13 has 3 (1.4%) missing values Missing
w2_F02_14 has 4 (1.9%) missing values Missing
w2_F02_15 has 3 (1.4%) missing values Missing
w2_F02_16 has 3 (1.4%) missing values Missing
w2_F02_17 has 3 (1.4%) missing values Missing
w2_F02_18 has 3 (1.4%) missing values Missing
w2_F02_19 has 3 (1.4%) missing values Missing
w2_F02_20 has 3 (1.4%) missing values Missing
w2_F01_1 has 122 (57.0%) missing values Missing
w2_F01_2 has 122 (57.0%) missing values Missing
w2_F01_3 has 122 (57.0%) missing values Missing
w2_F01_4 has 122 (57.0%) missing values Missing
w2_F01_5 has 123 (57.5%) missing values Missing
w2_F01_6 has 122 (57.0%) missing values Missing
w2_F01_7 has 122 (57.0%) missing values Missing
w2_F01_8 has 122 (57.0%) missing values Missing
w2_F01_9 has 123 (57.5%) missing values Missing
w2_F01_10 has 122 (57.0%) missing values Missing
w2_F01_11 has 122 (57.0%) missing values Missing
w2_F01_12 has 122 (57.0%) missing values Missing
w2_F01_13 has 122 (57.0%) missing values Missing
w2_F01_14 has 122 (57.0%) missing values Missing
w2_F01_15 has 122 (57.0%) missing values Missing
w2_F01_16 has 122 (57.0%) missing values Missing
w2_F01_17 has 122 (57.0%) missing values Missing
w2_F01_18 has 122 (57.0%) missing values Missing
w2_F01_19 has 123 (57.5%) missing values Missing
w2_F01_20 has 122 (57.0%) missing values Missing
w2_F01_21 has 122 (57.0%) missing values Missing
w2_F01_22 has 122 (57.0%) missing values Missing
w2_F01_23 has 123 (57.5%) missing values Missing
w2_F01_24 has 123 (57.5%) missing values Missing
w2_F01_25 has 122 (57.0%) missing values Missing
w2_F01_26 has 122 (57.0%) missing values Missing
w2_F01_27 has 122 (57.0%) missing values Missing
w2_F01_28 has 122 (57.0%) missing values Missing
w2_F01_29 has 122 (57.0%) missing values Missing
w2_F01_30 has 122 (57.0%) missing values Missing
w2_F01_31 has 122 (57.0%) missing values Missing
w2_F01_32 has 122 (57.0%) missing values Missing
w2_F01_33 has 122 (57.0%) missing values Missing
w2_F01_34 has 123 (57.5%) missing values Missing
w2_F01_35 has 122 (57.0%) missing values Missing
w2_F01_36 has 122 (57.0%) missing values Missing
w2_F01_37 has 122 (57.0%) missing values Missing
w2_F01_38 has 122 (57.0%) missing values Missing
w2_F01_39 has 122 (57.0%) missing values Missing
w2_F01_40 has 122 (57.0%) missing values Missing
token has unique values Unique
w2_startdate has unique values Unique
w2_datestamp has unique values Unique
w2_refurl is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_A03 has 89 (41.6%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:47:01.346291
Analysis finished2025-02-26 16:47:01.635871
Duration0.29 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2025-02-26T17:47:01.773739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters3210
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)100.0%

Sample

1st row04H7TuATLTMhnJk
2nd row0Jq9gU36K5hjk2N
3rd row1Kj604QCgpcMQ4h
4th row29X5b6oa01tDPz8
5th row2AYyfN3A21dE5cW
ValueCountFrequency (%)
04h7tuatltmhnjk 1
 
0.5%
0jq9gu36k5hjk2n 1
 
0.5%
1kj604qcgpcmq4h 1
 
0.5%
29x5b6oa01tdpz8 1
 
0.5%
2ayyfn3a21de5cw 1
 
0.5%
2mdezbf3v7ie8pw 1
 
0.5%
2zbcp3y5pv3rktf 1
 
0.5%
34a7zi3wk3goi5e 1
 
0.5%
3avxzsemlbnqpvh 1
 
0.5%
3lfvbkou4ukbdia 1
 
0.5%
Other values (204) 204
95.3%
2025-02-26T17:47:01.972957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 103
 
3.2%
a 100
 
3.1%
B 61
 
1.9%
4 59
 
1.8%
9 59
 
1.8%
5 59
 
1.8%
Z 59
 
1.8%
V 59
 
1.8%
h 58
 
1.8%
Q 57
 
1.8%
Other values (52) 2536
79.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3210
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 103
 
3.2%
a 100
 
3.1%
B 61
 
1.9%
4 59
 
1.8%
9 59
 
1.8%
5 59
 
1.8%
Z 59
 
1.8%
V 59
 
1.8%
h 58
 
1.8%
Q 57
 
1.8%
Other values (52) 2536
79.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3210
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 103
 
3.2%
a 100
 
3.1%
B 61
 
1.9%
4 59
 
1.8%
9 59
 
1.8%
5 59
 
1.8%
Z 59
 
1.8%
V 59
 
1.8%
h 58
 
1.8%
Q 57
 
1.8%
Other values (52) 2536
79.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3210
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 103
 
3.2%
a 100
 
3.1%
B 61
 
1.9%
4 59
 
1.8%
9 59
 
1.8%
5 59
 
1.8%
Z 59
 
1.8%
V 59
 
1.8%
h 58
 
1.8%
Q 57
 
1.8%
Other values (52) 2536
79.0%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2025-02-26T17:47:02.052133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters2782
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMongolia
2nd rowwenetMongolia
3rd rowwenetMongolia
4th rowwenetMongolia
5th rowwenetMongolia
ValueCountFrequency (%)
wenetmongolia 214
100.0%
2025-02-26T17:47:02.159187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 428
15.4%
n 428
15.4%
o 428
15.4%
w 214
7.7%
t 214
7.7%
M 214
7.7%
g 214
7.7%
l 214
7.7%
i 214
7.7%
a 214
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2782
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 428
15.4%
n 428
15.4%
o 428
15.4%
w 214
7.7%
t 214
7.7%
M 214
7.7%
g 214
7.7%
l 214
7.7%
i 214
7.7%
a 214
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2782
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 428
15.4%
n 428
15.4%
o 428
15.4%
w 214
7.7%
t 214
7.7%
M 214
7.7%
g 214
7.7%
l 214
7.7%
i 214
7.7%
a 214
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2782
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 428
15.4%
n 428
15.4%
o 428
15.4%
w 214
7.7%
t 214
7.7%
M 214
7.7%
g 214
7.7%
l 214
7.7%
i 214
7.7%
a 214
7.7%

w2_lastpage
Real number (ℝ)

Constant 

lastpage

Distinct1
Distinct (%)0.5%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7
Minimum7
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:02.199523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7
Median Absolute Deviation (MAD)0
Skewness0
Sum1484
Variance0
MonotonicityIncreasing
2025-02-26T17:47:02.234723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
7 212
99.1%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
7 212
99.1%
ValueCountFrequency (%)
7 212
99.1%

w2_submitdate
Date

submitdate

Distinct212
Distinct (%)100.0%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
Minimum2020-11-10 02:50:11
Maximum2021-02-02 04:07:42
2025-02-26T17:47:02.279043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:02.334362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_startlanguage
Text

startlanguage

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2025-02-26T17:47:02.371138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters428
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowmn
2nd rowmn
3rd rowmn
4th rowmn
5th rowmn
ValueCountFrequency (%)
mn 213
99.5%
en 1
 
0.5%
2025-02-26T17:47:02.439499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 214
50.0%
m 213
49.8%
e 1
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 428
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 214
50.0%
m 213
49.8%
e 1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 428
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 214
50.0%
m 213
49.8%
e 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 428
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 214
50.0%
m 213
49.8%
e 1
 
0.2%

w2_startdate
Date

Unique 

startdate

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2020-11-10 02:41:24
Maximum2021-02-02 03:48:54
2025-02-26T17:47:02.488611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:02.544457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_datestamp
Date

Unique 

datestamp

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2020-11-10 02:50:11
Maximum2021-02-02 04:07:42
2025-02-26T17:47:02.598656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:02.709029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_refurl
Unsupported

Missing  Rejected  Unsupported 

refurl

Missing214
Missing (%)100.0%
Memory size1.8 KiB

w2_A01
Real number (ℝ)

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct6
Distinct (%)2.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.632075472
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:02.757930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.279258314
Coefficient of variation (CV)0.2761738926
Kurtosis1.316202348
Mean4.632075472
Median Absolute Deviation (MAD)0
Skewness-1.54561993
Sum982
Variance1.636501833
MonotonicityNot monotonic
2025-02-26T17:47:02.797705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 143
66.8%
6 32
 
15.0%
2 25
 
11.7%
1 6
 
2.8%
3 5
 
2.3%
4 1
 
0.5%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 6
 
2.8%
2 25
 
11.7%
3 5
 
2.3%
4 1
 
0.5%
5 143
66.8%
ValueCountFrequency (%)
6 32
 
15.0%
5 143
66.8%
4 1
 
0.5%
3 5
 
2.3%
2 25
 
11.7%

w2_A01_other
Text

Missing 

With whom do you live? Answer: Other, please specify: ________

Distinct30
Distinct (%)100.0%
Missing184
Missing (%)86.0%
Memory size2.6 KiB
2025-02-26T17:47:02.887885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length20.5
Mean length13.56666667
Min length3

Characters and Unicode

Total characters407
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowДүү
2nd rowАх эгчтэйгээ
3rd rowэгч
4th rowАх эгч дүү
5th rowНайзууд
ValueCountFrequency (%)
дүү 7
 
10.4%
эгч 5
 
7.5%
нөхөр 5
 
7.5%
эгчтэйгээ 4
 
6.0%
хүүхэд 3
 
4.5%
2 3
 
4.5%
ах 2
 
3.0%
хамт 2
 
3.0%
дүүтэйгээ 2
 
3.0%
найз 2
 
3.0%
Other values (28) 32
47.8%
2025-02-26T17:47:03.033358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
э 61
15.0%
ү 37
 
9.1%
37
 
9.1%
х 30
 
7.4%
г 26
 
6.4%
а 24
 
5.9%
й 22
 
5.4%
н 21
 
5.2%
д 18
 
4.4%
т 17
 
4.2%
Other values (31) 114
28.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 407
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
э 61
15.0%
ү 37
 
9.1%
37
 
9.1%
х 30
 
7.4%
г 26
 
6.4%
а 24
 
5.9%
й 22
 
5.4%
н 21
 
5.2%
д 18
 
4.4%
т 17
 
4.2%
Other values (31) 114
28.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 407
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
э 61
15.0%
ү 37
 
9.1%
37
 
9.1%
х 30
 
7.4%
г 26
 
6.4%
а 24
 
5.9%
й 22
 
5.4%
н 21
 
5.2%
д 18
 
4.4%
т 17
 
4.2%
Other values (31) 114
28.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 407
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
э 61
15.0%
ү 37
 
9.1%
37
 
9.1%
х 30
 
7.4%
г 26
 
6.4%
а 24
 
5.9%
й 22
 
5.4%
н 21
 
5.2%
д 18
 
4.4%
т 17
 
4.2%
Other values (31) 114
28.0%

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct9
Distinct (%)4.4%
Missing10
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean3.357843137
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.080502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum40
Range39
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.973509852
Coefficient of variation (CV)0.8855416203
Kurtosis114.1614924
Mean3.357843137
Median Absolute Deviation (MAD)1
Skewness9.322804689
Sum685
Variance8.841760842
MonotonicityNot monotonic
2025-02-26T17:47:03.121702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 58
27.1%
4 44
20.6%
2 33
15.4%
1 32
15.0%
5 25
11.7%
6 7
 
3.3%
7 3
 
1.4%
40 1
 
0.5%
9 1
 
0.5%
(Missing) 10
 
4.7%
ValueCountFrequency (%)
1 32
15.0%
2 33
15.4%
3 58
27.1%
4 44
20.6%
5 25
11.7%
ValueCountFrequency (%)
40 1
 
0.5%
9 1
 
0.5%
7 3
 
1.4%
6 7
 
3.3%
5 25
11.7%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct8
Distinct (%)4.0%
Missing14
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean1.145
Minimum0
Maximum39
Zeros89
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.162666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum39
Range39
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.93377062
Coefficient of variation (CV)2.562245083
Kurtosis140.6626498
Mean1.145
Median Absolute Deviation (MAD)1
Skewness10.97741462
Sum229
Variance8.60701005
MonotonicityNot monotonic
2025-02-26T17:47:03.203193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 89
41.6%
1 64
29.9%
2 22
 
10.3%
3 19
 
8.9%
4 2
 
0.9%
5 2
 
0.9%
39 1
 
0.5%
7 1
 
0.5%
(Missing) 14
 
6.5%
ValueCountFrequency (%)
0 89
41.6%
1 64
29.9%
2 22
 
10.3%
3 19
 
8.9%
4 2
 
0.9%
ValueCountFrequency (%)
39 1
 
0.5%
7 1
 
0.5%
5 2
 
0.9%
4 2
 
0.9%
3 19
8.9%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct3
Distinct (%)1.5%
Missing10
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean1.862745098
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.243040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.25
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.7883288515
Coefficient of variation (CV)0.4232081203
Kurtosis-1.348745581
Mean1.862745098
Median Absolute Deviation (MAD)1
Skewness0.2485267462
Sum380
Variance0.6214623781
MonotonicityNot monotonic
2025-02-26T17:47:03.282763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 79
36.9%
2 74
34.6%
3 51
23.8%
(Missing) 10
 
4.7%
ValueCountFrequency (%)
1 79
36.9%
2 74
34.6%
3 51
23.8%
ValueCountFrequency (%)
3 51
23.8%
2 74
34.6%
1 79
36.9%

w2_A05_1
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
157 
False
57 
ValueCountFrequency (%)
True 157
73.4%
False 57
 
26.6%
2025-02-26T17:47:03.324663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
190 
True
24 
ValueCountFrequency (%)
False 190
88.8%
True 24
 
11.2%
2025-02-26T17:47:03.360992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

Imbalance 

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
205 
True
 
9
ValueCountFrequency (%)
False 205
95.8%
True 9
 
4.2%
2025-02-26T17:47:03.397416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

Imbalance 

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
195 
True
 
19
ValueCountFrequency (%)
False 195
91.1%
True 19
 
8.9%
2025-02-26T17:47:03.433770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
143 
True
71 
ValueCountFrequency (%)
False 143
66.8%
True 71
33.2%
2025-02-26T17:47:03.470185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
183 
False
31 
ValueCountFrequency (%)
True 183
85.5%
False 31
 
14.5%
2025-02-26T17:47:03.507064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
175 
True
39 
ValueCountFrequency (%)
False 175
81.8%
True 39
 
18.2%
2025-02-26T17:47:03.543257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
178 
True
36 
ValueCountFrequency (%)
False 178
83.2%
True 36
 
16.8%
2025-02-26T17:47:03.580200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
161 
True
53 
ValueCountFrequency (%)
False 161
75.2%
True 53
 
24.8%
2025-02-26T17:47:03.616249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
170 
False
44 
ValueCountFrequency (%)
True 170
79.4%
False 44
 
20.6%
2025-02-26T17:47:03.652334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct27
Distinct (%)12.7%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean41.64740566
Minimum0.45
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.692376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile5
Q120
median40
Q360
95-th percentile100
Maximum200
Range199.55
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.35366465
Coefficient of variation (CV)0.7288248612
Kurtosis3.477449421
Mean41.64740566
Median Absolute Deviation (MAD)20
Skewness1.44491866
Sum8829.25
Variance921.3449577
MonotonicityNot monotonic
2025-02-26T17:47:03.739046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
30.0 38
17.8%
40.0 30
14.0%
60.0 29
13.6%
20.0 15
 
7.0%
10.0 12
 
5.6%
5.0 11
 
5.1%
90.0 10
 
4.7%
50.0 10
 
4.7%
45.0 9
 
4.2%
120.0 9
 
4.2%
Other values (17) 39
18.2%
ValueCountFrequency (%)
0.45 1
 
0.5%
0.5 1
 
0.5%
1.0 1
 
0.5%
1.3 1
 
0.5%
2.0 4
1.9%
ValueCountFrequency (%)
200.0 1
 
0.5%
120.0 9
4.2%
100.0 3
 
1.4%
90.0 10
4.7%
80.0 2
 
0.9%

w2_A06_2
Real number (ℝ)

Missing 

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct60
Distinct (%)28.8%
Missing6
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean7.57625
Minimum0.05
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.790000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.3
Q12
median3.75
Q36
95-th percentile15
Maximum500
Range499.95
Interquartile range (IQR)4

Descriptive statistics

Standard deviation34.74818907
Coefficient of variation (CV)4.586462838
Kurtosis197.5242354
Mean7.57625
Median Absolute Deviation (MAD)1.75
Skewness13.88876059
Sum1575.86
Variance1207.436644
MonotonicityNot monotonic
2025-02-26T17:47:03.844365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 19
 
8.9%
3.0 18
 
8.4%
6.0 13
 
6.1%
4.5 12
 
5.6%
5.0 11
 
5.1%
3.5 10
 
4.7%
4.0 10
 
4.7%
2.5 8
 
3.7%
7.0 7
 
3.3%
1.5 6
 
2.8%
Other values (50) 94
43.9%
ValueCountFrequency (%)
0.05 1
 
0.5%
0.1 2
 
0.9%
0.2 6
2.8%
0.3 5
2.3%
0.36 1
 
0.5%
ValueCountFrequency (%)
500.0 1
0.5%
40.0 1
0.5%
35.0 1
0.5%
30.0 1
0.5%
25.0 1
0.5%

w2_A07
Real number (ℝ)

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.273584906
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.886917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4468535362
Coefficient of variation (CV)0.3508627766
Kurtosis-0.9625883297
Mean1.273584906
Median Absolute Deviation (MAD)0
Skewness1.02302616
Sum270
Variance0.1996780828
MonotonicityNot monotonic
2025-02-26T17:47:03.925676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 154
72.0%
2 58
 
27.1%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 154
72.0%
2 58
 
27.1%
ValueCountFrequency (%)
2 58
 
27.1%
1 154
72.0%

w2_A08
Real number (ℝ)

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.735849057
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:03.962661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4419235591
Coefficient of variation (CV)0.2545863982
Kurtosis-0.8469869729
Mean1.735849057
Median Absolute Deviation (MAD)0
Skewness-1.077540372
Sum368
Variance0.1952964321
MonotonicityNot monotonic
2025-02-26T17:47:04.001054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 156
72.9%
1 56
 
26.2%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 56
 
26.2%
2 156
72.9%
ValueCountFrequency (%)
2 156
72.9%
1 56
 
26.2%

w2_B01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.747619048
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.039118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.4354165883
Coefficient of variation (CV)0.2491484565
Kurtosis-0.6879921414
Mean1.747619048
Median Absolute Deviation (MAD)0
Skewness-1.148325565
Sum367
Variance0.1895876054
MonotonicityNot monotonic
2025-02-26T17:47:04.077416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 157
73.4%
1 53
 
24.8%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 53
 
24.8%
2 157
73.4%
ValueCountFrequency (%)
2 157
73.4%
1 53
 
24.8%

w2_B01_2
Real number (ℝ)

Missing 

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing10
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean1.965686275
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.115223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1824815791
Coefficient of variation (CV)0.09283352153
Kurtosis24.81162764
Mean1.965686275
Median Absolute Deviation (MAD)0
Skewness-5.154460325
Sum401
Variance0.03329952671
MonotonicityNot monotonic
2025-02-26T17:47:04.152299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 197
92.1%
1 7
 
3.3%
(Missing) 10
 
4.7%
ValueCountFrequency (%)
1 7
 
3.3%
2 197
92.1%
ValueCountFrequency (%)
2 197
92.1%
1 7
 
3.3%

w2_B01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing11
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean1.822660099
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.188547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3829003667
Coefficient of variation (CV)0.2100777688
Kurtosis0.9060322142
Mean1.822660099
Median Absolute Deviation (MAD)0
Skewness-1.702117183
Sum370
Variance0.1466126908
MonotonicityNot monotonic
2025-02-26T17:47:04.228172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 167
78.0%
1 36
 
16.8%
(Missing) 11
 
5.1%
ValueCountFrequency (%)
1 36
 
16.8%
2 167
78.0%
ValueCountFrequency (%)
2 167
78.0%
1 36
 
16.8%

w2_B01_4
Real number (ℝ)

Missing 

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing8
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean1.932038835
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.265855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2522923555
Coefficient of variation (CV)0.1305834805
Kurtosis10.05867703
Mean1.932038835
Median Absolute Deviation (MAD)0
Skewness-3.458483782
Sum398
Variance0.06365143263
MonotonicityNot monotonic
2025-02-26T17:47:04.303768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 192
89.7%
1 14
 
6.5%
(Missing) 8
 
3.7%
ValueCountFrequency (%)
1 14
 
6.5%
2 192
89.7%
ValueCountFrequency (%)
2 192
89.7%
1 14
 
6.5%

w2_B01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing10
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean1.970588235
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.340096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1693733657
Coefficient of variation (CV)0.08595066318
Kurtosis29.78459338
Mean1.970588235
Median Absolute Deviation (MAD)0
Skewness-5.611833039
Sum402
Variance0.028687337
MonotonicityNot monotonic
2025-02-26T17:47:04.377243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 198
92.5%
1 6
 
2.8%
(Missing) 10
 
4.7%
ValueCountFrequency (%)
1 6
 
2.8%
2 198
92.5%
ValueCountFrequency (%)
2 198
92.5%
1 6
 
2.8%

w2_B01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing8
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean1.781553398
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.415786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4141986263
Coefficient of variation (CV)0.2324929619
Kurtosis-0.116543169
Mean1.781553398
Median Absolute Deviation (MAD)0
Skewness-1.372837607
Sum367
Variance0.171560502
MonotonicityNot monotonic
2025-02-26T17:47:04.454070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 161
75.2%
1 45
 
21.0%
(Missing) 8
 
3.7%
ValueCountFrequency (%)
1 45
 
21.0%
2 161
75.2%
ValueCountFrequency (%)
2 161
75.2%
1 45
 
21.0%

w2_B01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.0%
Missing10
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean1.970588235
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.491293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1693733657
Coefficient of variation (CV)0.08595066318
Kurtosis29.78459338
Mean1.970588235
Median Absolute Deviation (MAD)0
Skewness-5.611833039
Sum402
Variance0.028687337
MonotonicityNot monotonic
2025-02-26T17:47:04.529326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 198
92.5%
1 6
 
2.8%
(Missing) 10
 
4.7%
ValueCountFrequency (%)
1 6
 
2.8%
2 198
92.5%
ValueCountFrequency (%)
2 198
92.5%
1 6
 
2.8%

w2_B02_1
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
171 
False
43 
ValueCountFrequency (%)
True 171
79.9%
False 43
 
20.1%
2025-02-26T17:47:04.567089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
207 
True
 
7
ValueCountFrequency (%)
False 207
96.7%
True 7
 
3.3%
2025-02-26T17:47:04.603899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
170 
True
44 
ValueCountFrequency (%)
False 170
79.4%
True 44
 
20.6%
2025-02-26T17:47:04.704293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
186 
True
28 
ValueCountFrequency (%)
False 186
86.9%
True 28
 
13.1%
2025-02-26T17:47:04.740549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Constant 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
214 
ValueCountFrequency (%)
False 214
100.0%
2025-02-26T17:47:04.776151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
169 
False
45 
ValueCountFrequency (%)
True 169
79.0%
False 45
 
21.0%
2025-02-26T17:47:04.810038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

Imbalance 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
210 
True
 
4
ValueCountFrequency (%)
False 210
98.1%
True 4
 
1.9%
2025-02-26T17:47:04.846427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Constant 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
214 
ValueCountFrequency (%)
False 214
100.0%
2025-02-26T17:47:04.880283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct6
Distinct (%)2.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.688679245
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.913203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.51368611
Coefficient of variation (CV)0.3228384863
Kurtosis-0.07815967623
Mean4.688679245
Median Absolute Deviation (MAD)1
Skewness-1.01542911
Sum994
Variance2.291245641
MonotonicityNot monotonic
2025-02-26T17:47:04.950817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 90
42.1%
5 45
21.0%
4 39
18.2%
2 23
 
10.7%
1 9
 
4.2%
3 6
 
2.8%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 9
 
4.2%
2 23
10.7%
3 6
 
2.8%
4 39
18.2%
5 45
21.0%
ValueCountFrequency (%)
6 90
42.1%
5 45
21.0%
4 39
18.2%
3 6
 
2.8%
2 23
 
10.7%

w2_C01
Real number (ℝ)

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.283018868
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:04.987438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4515317161
Coefficient of variation (CV)0.3519291317
Kurtosis-1.068802509
Mean1.283018868
Median Absolute Deviation (MAD)0
Skewness0.9702424492
Sum272
Variance0.2038808906
MonotonicityNot monotonic
2025-02-26T17:47:05.026856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 152
71.0%
2 60
 
28.0%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 152
71.0%
2 60
 
28.0%
ValueCountFrequency (%)
2 60
 
28.0%
1 152
71.0%

w2_C02
Real number (ℝ)

Missing 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct3
Distinct (%)4.3%
Missing145
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean1.188405797
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.063483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.6
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5223071645
Coefficient of variation (CV)0.4395023701
Kurtosis6.646121311
Mean1.188405797
Median Absolute Deviation (MAD)0
Skewness2.769178825
Sum82
Variance0.2728047741
MonotonicityNot monotonic
2025-02-26T17:47:05.104792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 60
28.0%
2 5
 
2.3%
3 4
 
1.9%
(Missing) 145
67.8%
ValueCountFrequency (%)
1 60
28.0%
2 5
 
2.3%
3 4
 
1.9%
ValueCountFrequency (%)
3 4
 
1.9%
2 5
 
2.3%
1 60
28.0%

w2_C03_1
Real number (ℝ)

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)3.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.183962264
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.144302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7.45
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.985522806
Coefficient of variation (CV)0.47455562
Kurtosis-0.8986117867
Mean4.183962264
Median Absolute Deviation (MAD)2
Skewness0.1715171119
Sum887
Variance3.942300814
MonotonicityNot monotonic
2025-02-26T17:47:05.182619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 41
19.2%
3 34
15.9%
5 30
14.0%
2 29
13.6%
6 24
11.2%
7 23
10.7%
1 20
9.3%
8 11
 
5.1%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 20
9.3%
2 29
13.6%
3 34
15.9%
4 41
19.2%
5 30
14.0%
ValueCountFrequency (%)
8 11
 
5.1%
7 23
10.7%
6 24
11.2%
5 30
14.0%
4 41
19.2%

w2_C03_2
Real number (ℝ)

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)3.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean6.561320755
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.220770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.188816031
Coefficient of variation (CV)0.181185477
Kurtosis8.354333066
Mean6.561320755
Median Absolute Deviation (MAD)0
Skewness-2.684378963
Sum1391
Variance1.413283555
MonotonicityNot monotonic
2025-02-26T17:47:05.260803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 145
67.8%
6 32
 
15.0%
8 13
 
6.1%
5 9
 
4.2%
3 4
 
1.9%
4 4
 
1.9%
1 3
 
1.4%
2 2
 
0.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 3
 
1.4%
2 2
 
0.9%
3 4
1.9%
4 4
1.9%
5 9
4.2%
ValueCountFrequency (%)
8 13
 
6.1%
7 145
67.8%
6 32
 
15.0%
5 9
 
4.2%
4 4
 
1.9%

w2_C03_3
Real number (ℝ)

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)3.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.693396226
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.300385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.723919752
Coefficient of variation (CV)0.3027928645
Kurtosis0.4790075104
Mean5.693396226
Median Absolute Deviation (MAD)1
Skewness-1.029212602
Sum1207
Variance2.971899311
MonotonicityNot monotonic
2025-02-26T17:47:05.338677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 83
38.8%
6 36
16.8%
5 31
 
14.5%
4 25
 
11.7%
8 13
 
6.1%
3 12
 
5.6%
1 9
 
4.2%
2 3
 
1.4%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 9
 
4.2%
2 3
 
1.4%
3 12
 
5.6%
4 25
11.7%
5 31
14.5%
ValueCountFrequency (%)
8 13
 
6.1%
7 83
38.8%
6 36
16.8%
5 31
 
14.5%
4 25
 
11.7%

w2_C03_4
Real number (ℝ)

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)3.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.410377358
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.376693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.217228074
Coefficient of variation (CV)0.6501415652
Kurtosis-0.5976082486
Mean3.410377358
Median Absolute Deviation (MAD)2
Skewness0.6721448501
Sum723
Variance4.916100331
MonotonicityNot monotonic
2025-02-26T17:47:05.416704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 59
27.6%
3 36
16.8%
4 33
15.4%
2 27
12.6%
8 17
 
7.9%
5 17
 
7.9%
6 12
 
5.6%
7 11
 
5.1%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 59
27.6%
2 27
12.6%
3 36
16.8%
4 33
15.4%
5 17
 
7.9%
ValueCountFrequency (%)
8 17
7.9%
7 11
 
5.1%
6 12
 
5.6%
5 17
7.9%
4 33
15.4%

w2_C03_5
Real number (ℝ)

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)3.8%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.320754717
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.455056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.94739914
Coefficient of variation (CV)0.4507080978
Kurtosis-0.8202574438
Mean4.320754717
Median Absolute Deviation (MAD)1
Skewness0.1198579442
Sum916
Variance3.792363409
MonotonicityNot monotonic
2025-02-26T17:47:05.494276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 47
22.0%
5 33
15.4%
3 31
14.5%
2 25
11.7%
7 25
11.7%
6 22
10.3%
1 17
 
7.9%
8 12
 
5.6%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 17
 
7.9%
2 25
11.7%
3 31
14.5%
4 47
22.0%
5 33
15.4%
ValueCountFrequency (%)
8 12
 
5.6%
7 25
11.7%
6 22
10.3%
5 33
15.4%
4 47
22.0%

w2_C04
Real number (ℝ)

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct5
Distinct (%)2.4%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.16509434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.532268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.009954478
Coefficient of variation (CV)0.4664713494
Kurtosis0.4591461014
Mean2.16509434
Median Absolute Deviation (MAD)1
Skewness0.9449029926
Sum459
Variance1.020008048
MonotonicityNot monotonic
2025-02-26T17:47:05.573351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 105
49.1%
1 53
24.8%
3 26
 
12.1%
4 22
 
10.3%
5 6
 
2.8%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 53
24.8%
2 105
49.1%
3 26
 
12.1%
4 22
 
10.3%
5 6
 
2.8%
ValueCountFrequency (%)
5 6
 
2.8%
4 22
 
10.3%
3 26
 
12.1%
2 105
49.1%
1 53
24.8%

w2_C05_1
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.240566038
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.611123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.766903646
Coefficient of variation (CV)0.4166669331
Kurtosis-0.800240668
Mean4.240566038
Median Absolute Deviation (MAD)1
Skewness-0.08444236917
Sum899
Variance3.121948493
MonotonicityNot monotonic
2025-02-26T17:47:05.647406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 48
22.4%
5 43
20.1%
3 32
15.0%
7 31
14.5%
2 21
9.8%
6 20
9.3%
1 17
 
7.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 17
 
7.9%
2 21
9.8%
3 32
15.0%
4 48
22.4%
5 43
20.1%
ValueCountFrequency (%)
7 31
14.5%
6 20
9.3%
5 43
20.1%
4 48
22.4%
3 32
15.0%

w2_C05_2
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.712264151
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.683531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.831074728
Coefficient of variation (CV)0.4932501173
Kurtosis-0.9791454674
Mean3.712264151
Median Absolute Deviation (MAD)1
Skewness0.1424011632
Sum787
Variance3.35283466
MonotonicityNot monotonic
2025-02-26T17:47:05.719445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 43
20.1%
3 40
18.7%
4 31
14.5%
2 31
14.5%
1 31
14.5%
7 19
8.9%
6 17
 
7.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 31
14.5%
2 31
14.5%
3 40
18.7%
4 31
14.5%
5 43
20.1%
ValueCountFrequency (%)
7 19
8.9%
6 17
 
7.9%
5 43
20.1%
4 31
14.5%
3 40
18.7%

w2_C05_3
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct7
Distinct (%)3.3%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.933649289
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.755183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.622859161
Coefficient of variation (CV)0.3289368713
Kurtosis-0.5708804307
Mean4.933649289
Median Absolute Deviation (MAD)1
Skewness-0.4722444559
Sum1041
Variance2.633671857
MonotonicityNot monotonic
2025-02-26T17:47:05.790839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 45
21.0%
7 44
20.6%
6 43
20.1%
4 36
16.8%
3 26
12.1%
2 11
 
5.1%
1 6
 
2.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 6
 
2.8%
2 11
 
5.1%
3 26
12.1%
4 36
16.8%
5 45
21.0%
ValueCountFrequency (%)
7 44
20.6%
6 43
20.1%
5 45
21.0%
4 36
16.8%
3 26
12.1%

w2_C05_4
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct7
Distinct (%)3.3%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.971428571
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.825879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.583147751
Coefficient of variation (CV)0.5327901085
Kurtosis-0.6987492647
Mean2.971428571
Median Absolute Deviation (MAD)1
Skewness0.3614615394
Sum624
Variance2.506356801
MonotonicityNot monotonic
2025-02-26T17:47:05.863166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 52
24.3%
4 50
23.4%
2 38
17.8%
3 35
16.4%
5 23
10.7%
6 8
 
3.7%
7 4
 
1.9%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 52
24.3%
2 38
17.8%
3 35
16.4%
4 50
23.4%
5 23
10.7%
ValueCountFrequency (%)
7 4
 
1.9%
6 8
 
3.7%
5 23
10.7%
4 50
23.4%
3 35
16.4%

w2_C05_5
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.547169811
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.898506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14.75
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.546327712
Coefficient of variation (CV)0.2787597576
Kurtosis-0.1455698574
Mean5.547169811
Median Absolute Deviation (MAD)1
Skewness-0.8578061408
Sum1176
Variance2.391129393
MonotonicityNot monotonic
2025-02-26T17:47:05.934822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 83
38.8%
6 41
19.2%
5 35
16.4%
4 26
 
12.1%
3 19
 
8.9%
2 5
 
2.3%
1 3
 
1.4%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 3
 
1.4%
2 5
 
2.3%
3 19
8.9%
4 26
12.1%
5 35
16.4%
ValueCountFrequency (%)
7 83
38.8%
6 41
19.2%
5 35
16.4%
4 26
 
12.1%
3 19
 
8.9%

w2_C05_6
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct7
Distinct (%)3.3%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.947867299
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:05.969848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565135838
Coefficient of variation (CV)0.5309383631
Kurtosis-0.3447080092
Mean2.947867299
Median Absolute Deviation (MAD)1
Skewness0.5911924247
Sum622
Variance2.449650192
MonotonicityNot monotonic
2025-02-26T17:47:06.006269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 50
23.4%
3 46
21.5%
1 44
20.6%
4 35
16.4%
5 21
9.8%
6 10
 
4.7%
7 5
 
2.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 44
20.6%
2 50
23.4%
3 46
21.5%
4 35
16.4%
5 21
9.8%
ValueCountFrequency (%)
7 5
 
2.3%
6 10
 
4.7%
5 21
9.8%
4 35
16.4%
3 46
21.5%

w2_C05_7
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.400943396
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.042366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.667816081
Coefficient of variation (CV)0.3789678555
Kurtosis-0.8625305664
Mean4.400943396
Median Absolute Deviation (MAD)1
Skewness-0.04808909644
Sum933
Variance2.78161048
MonotonicityNot monotonic
2025-02-26T17:47:06.078011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 45
21.0%
3 45
21.0%
5 34
15.9%
6 34
15.9%
7 29
13.6%
2 16
 
7.5%
1 9
 
4.2%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 9
 
4.2%
2 16
 
7.5%
3 45
21.0%
4 45
21.0%
5 34
15.9%
ValueCountFrequency (%)
7 29
13.6%
6 34
15.9%
5 34
15.9%
4 45
21.0%
3 45
21.0%

w2_C05_8
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.443396226
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.113912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.862985367
Coefficient of variation (CV)0.4192705921
Kurtosis-0.9881365301
Mean4.443396226
Median Absolute Deviation (MAD)1
Skewness-0.256472527
Sum942
Variance3.470714477
MonotonicityNot monotonic
2025-02-26T17:47:06.151373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 38
17.8%
7 37
17.3%
5 37
17.3%
6 34
15.9%
3 27
12.6%
2 22
10.3%
1 17
7.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 17
7.9%
2 22
10.3%
3 27
12.6%
4 38
17.8%
5 37
17.3%
ValueCountFrequency (%)
7 37
17.3%
6 34
15.9%
5 37
17.3%
4 38
17.8%
3 27
12.6%

w2_C05_9
Real number (ℝ)

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct7
Distinct (%)3.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean4.29245283
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.187390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.98318515
Coefficient of variation (CV)0.4620167602
Kurtosis-1.207016525
Mean4.29245283
Median Absolute Deviation (MAD)2
Skewness-0.191009597
Sum910
Variance3.933023339
MonotonicityNot monotonic
2025-02-26T17:47:06.225463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 37
17.3%
7 36
16.8%
4 34
15.9%
5 30
14.0%
2 29
13.6%
3 23
10.7%
1 23
10.7%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 23
10.7%
2 29
13.6%
3 23
10.7%
4 34
15.9%
5 30
14.0%
ValueCountFrequency (%)
7 36
16.8%
6 37
17.3%
5 30
14.0%
4 34
15.9%
3 23
10.7%

w2_C06_1
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
108 
True
106 
ValueCountFrequency (%)
False 108
50.5%
True 106
49.5%
2025-02-26T17:47:06.265436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
133 
False
81 
ValueCountFrequency (%)
True 133
62.1%
False 81
37.9%
2025-02-26T17:47:06.302544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

Imbalance 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
192 
True
22 
ValueCountFrequency (%)
False 192
89.7%
True 22
 
10.3%
2025-02-26T17:47:06.338876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

Imbalance 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
206 
True
 
8
ValueCountFrequency (%)
False 206
96.3%
True 8
 
3.7%
2025-02-26T17:47:06.374861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
149 
True
65 
ValueCountFrequency (%)
False 149
69.6%
True 65
30.4%
2025-02-26T17:47:06.411186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
166 
True
48 
ValueCountFrequency (%)
False 166
77.6%
True 48
 
22.4%
2025-02-26T17:47:06.447728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
True
175 
False
39 
ValueCountFrequency (%)
True 175
81.8%
False 39
 
18.2%
2025-02-26T17:47:06.484918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Imbalance 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
211 
True
 
3
ValueCountFrequency (%)
False 211
98.6%
True 3
 
1.4%
2025-02-26T17:47:06.520837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Imbalance 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
211 
True
 
3
ValueCountFrequency (%)
False 211
98.6%
True 3
 
1.4%
2025-02-26T17:47:06.556607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
173 
True
41 
ValueCountFrequency (%)
False 173
80.8%
True 41
 
19.2%
2025-02-26T17:47:06.592046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Imbalance 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
202 
True
 
12
ValueCountFrequency (%)
False 202
94.4%
True 12
 
5.6%
2025-02-26T17:47:06.628005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
187 
True
27 
ValueCountFrequency (%)
False 187
87.4%
True 27
 
12.6%
2025-02-26T17:47:06.664496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
124 
True
90 
ValueCountFrequency (%)
False 124
57.9%
True 90
42.1%
2025-02-26T17:47:06.700793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)1.0%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.352380952
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.736771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4788533429
Coefficient of variation (CV)0.3540816972
Kurtosis-1.628115595
Mean1.352380952
Median Absolute Deviation (MAD)0
Skewness0.6224806143
Sum284
Variance0.229300524
MonotonicityNot monotonic
2025-02-26T17:47:06.839912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 136
63.6%
2 74
34.6%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 136
63.6%
2 74
34.6%
ValueCountFrequency (%)
2 74
34.6%
1 136
63.6%

w2_C09
Real number (ℝ)

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct5
Distinct (%)2.4%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.344339623
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.877304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.118273906
Coefficient of variation (CV)0.3343780932
Kurtosis-0.5236240006
Mean3.344339623
Median Absolute Deviation (MAD)1
Skewness-0.6303080781
Sum709
Variance1.250536529
MonotonicityNot monotonic
2025-02-26T17:47:06.918299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 101
47.2%
3 37
 
17.3%
2 36
 
16.8%
5 21
 
9.8%
1 17
 
7.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 17
 
7.9%
2 36
 
16.8%
3 37
 
17.3%
4 101
47.2%
5 21
 
9.8%
ValueCountFrequency (%)
5 21
 
9.8%
4 101
47.2%
3 37
 
17.3%
2 36
 
16.8%
1 17
 
7.9%

w2_C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)2.1%
Missing25
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean2.37037037
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:06.956563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.6
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7368495114
Coefficient of variation (CV)0.3108583876
Kurtosis-0.252493386
Mean2.37037037
Median Absolute Deviation (MAD)1
Skewness0.0938244879
Sum448
Variance0.5429472025
MonotonicityNot monotonic
2025-02-26T17:47:06.993348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 91
42.5%
3 69
32.2%
1 19
 
8.9%
4 10
 
4.7%
(Missing) 25
 
11.7%
ValueCountFrequency (%)
1 19
 
8.9%
2 91
42.5%
3 69
32.2%
4 10
 
4.7%
ValueCountFrequency (%)
4 10
 
4.7%
3 69
32.2%
2 91
42.5%
1 19
 
8.9%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)1.6%
Missing23
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean1.434554974
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.030134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6526542454
Coefficient of variation (CV)0.454952412
Kurtosis0.291988191
Mean1.434554974
Median Absolute Deviation (MAD)0
Skewness1.220994767
Sum274
Variance0.4259575641
MonotonicityNot monotonic
2025-02-26T17:47:07.070945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 125
58.4%
2 49
 
22.9%
3 17
 
7.9%
(Missing) 23
 
10.7%
ValueCountFrequency (%)
1 125
58.4%
2 49
 
22.9%
3 17
 
7.9%
ValueCountFrequency (%)
3 17
 
7.9%
2 49
 
22.9%
1 125
58.4%

w2_C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct2
Distinct (%)1.0%
Missing21
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean1.067357513
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.112267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2512919983
Coefficient of variation (CV)0.2354337654
Kurtosis10.21195017
Mean1.067357513
Median Absolute Deviation (MAD)0
Skewness3.47940068
Sum206
Variance0.06314766839
MonotonicityNot monotonic
2025-02-26T17:47:07.150802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 180
84.1%
2 13
 
6.1%
(Missing) 21
 
9.8%
ValueCountFrequency (%)
1 180
84.1%
2 13
 
6.1%
ValueCountFrequency (%)
2 13
 
6.1%
1 180
84.1%

w2_C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)2.1%
Missing20
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.608247423
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.187204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7418880972
Coefficient of variation (CV)0.4613022143
Kurtosis1.106863249
Mean1.608247423
Median Absolute Deviation (MAD)0
Skewness1.160414179
Sum312
Variance0.5503979488
MonotonicityNot monotonic
2025-02-26T17:47:07.223926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 101
47.2%
2 73
34.1%
3 15
 
7.0%
4 5
 
2.3%
(Missing) 20
 
9.3%
ValueCountFrequency (%)
1 101
47.2%
2 73
34.1%
3 15
 
7.0%
4 5
 
2.3%
ValueCountFrequency (%)
4 5
 
2.3%
3 15
 
7.0%
2 73
34.1%
1 101
47.2%

w2_C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)2.1%
Missing21
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean1.834196891
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.259915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8123214564
Coefficient of variation (CV)0.4428758223
Kurtosis-0.4309998125
Mean1.834196891
Median Absolute Deviation (MAD)1
Skewness0.6077429966
Sum354
Variance0.6598661485
MonotonicityNot monotonic
2025-02-26T17:47:07.296733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 77
36.0%
2 76
35.5%
3 35
16.4%
4 5
 
2.3%
(Missing) 21
 
9.8%
ValueCountFrequency (%)
1 77
36.0%
2 76
35.5%
3 35
16.4%
4 5
 
2.3%
ValueCountFrequency (%)
4 5
 
2.3%
3 35
16.4%
2 76
35.5%
1 77
36.0%

w2_C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)2.1%
Missing20
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.587628866
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.332481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7786340813
Coefficient of variation (CV)0.4904383499
Kurtosis0.788002229
Mean1.587628866
Median Absolute Deviation (MAD)0
Skewness1.201733105
Sum308
Variance0.6062710325
MonotonicityNot monotonic
2025-02-26T17:47:07.369758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 110
51.4%
2 59
27.6%
3 20
 
9.3%
4 5
 
2.3%
(Missing) 20
 
9.3%
ValueCountFrequency (%)
1 110
51.4%
2 59
27.6%
3 20
 
9.3%
4 5
 
2.3%
ValueCountFrequency (%)
4 5
 
2.3%
3 20
 
9.3%
2 59
27.6%
1 110
51.4%

w2_C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)2.1%
Missing20
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.963917526
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.405782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7974942061
Coefficient of variation (CV)0.4060731653
Kurtosis-0.4024807743
Mean1.963917526
Median Absolute Deviation (MAD)1
Skewness0.4365781466
Sum381
Variance0.6359970087
MonotonicityNot monotonic
2025-02-26T17:47:07.441779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 89
41.6%
1 59
27.6%
3 40
18.7%
4 6
 
2.8%
(Missing) 20
 
9.3%
ValueCountFrequency (%)
1 59
27.6%
2 89
41.6%
3 40
18.7%
4 6
 
2.8%
ValueCountFrequency (%)
4 6
 
2.8%
3 40
18.7%
2 89
41.6%
1 59
27.6%

w2_C11
Real number (ℝ)

Missing 

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)1.5%
Missing20
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.618556701
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.480210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4975233787
Coefficient of variation (CV)0.3073870556
Kurtosis-1.553791653
Mean1.618556701
Median Absolute Deviation (MAD)0
Skewness-0.3640984616
Sum314
Variance0.2475295123
MonotonicityNot monotonic
2025-02-26T17:47:07.521954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 118
55.1%
1 75
35.0%
3 1
 
0.5%
(Missing) 20
 
9.3%
ValueCountFrequency (%)
1 75
35.0%
2 118
55.1%
3 1
 
0.5%
ValueCountFrequency (%)
3 1
 
0.5%
2 118
55.1%
1 75
35.0%

w2_C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)2.6%
Missing19
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.907692308
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.563411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9694787141
Coefficient of variation (CV)0.5081944872
Kurtosis2.082221515
Mean1.907692308
Median Absolute Deviation (MAD)1
Skewness1.386870289
Sum372
Variance0.939888977
MonotonicityNot monotonic
2025-02-26T17:47:07.603245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 88
41.1%
1 73
34.1%
3 20
 
9.3%
5 7
 
3.3%
4 7
 
3.3%
(Missing) 19
 
8.9%
ValueCountFrequency (%)
1 73
34.1%
2 88
41.1%
3 20
 
9.3%
4 7
 
3.3%
5 7
 
3.3%
ValueCountFrequency (%)
5 7
 
3.3%
4 7
 
3.3%
3 20
 
9.3%
2 88
41.1%
1 73
34.1%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)2.6%
Missing19
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.928205128
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.642680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.164321119
Coefficient of variation (CV)0.6038367507
Kurtosis1.499514566
Mean1.928205128
Median Absolute Deviation (MAD)1
Skewness1.467375237
Sum376
Variance1.355643669
MonotonicityNot monotonic
2025-02-26T17:47:07.683389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 88
41.1%
2 68
31.8%
3 20
 
9.3%
5 16
 
7.5%
4 3
 
1.4%
(Missing) 19
 
8.9%
ValueCountFrequency (%)
1 88
41.1%
2 68
31.8%
3 20
 
9.3%
4 3
 
1.4%
5 16
 
7.5%
ValueCountFrequency (%)
5 16
 
7.5%
4 3
 
1.4%
3 20
 
9.3%
2 68
31.8%
1 88
41.1%

w2_C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)2.6%
Missing19
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.225641026
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.722933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8617645374
Coefficient of variation (CV)0.2671607071
Kurtosis-0.05470977072
Mean3.225641026
Median Absolute Deviation (MAD)1
Skewness-0.4049861051
Sum629
Variance0.7426381179
MonotonicityNot monotonic
2025-02-26T17:47:07.763734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 80
37.4%
4 72
33.6%
2 30
 
14.0%
5 7
 
3.3%
1 6
 
2.8%
(Missing) 19
 
8.9%
ValueCountFrequency (%)
1 6
 
2.8%
2 30
 
14.0%
3 80
37.4%
4 72
33.6%
5 7
 
3.3%
ValueCountFrequency (%)
5 7
 
3.3%
4 72
33.6%
3 80
37.4%
2 30
 
14.0%
1 6
 
2.8%

w2_C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)2.6%
Missing21
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean2.067357513
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.802943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.225009252
Coefficient of variation (CV)0.5925483351
Kurtosis-0.2060614848
Mean2.067357513
Median Absolute Deviation (MAD)1
Skewness0.9181830988
Sum399
Variance1.500647668
MonotonicityNot monotonic
2025-02-26T17:47:07.843342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 88
41.1%
2 43
20.1%
3 34
 
15.9%
4 17
 
7.9%
5 11
 
5.1%
(Missing) 21
 
9.8%
ValueCountFrequency (%)
1 88
41.1%
2 43
20.1%
3 34
 
15.9%
4 17
 
7.9%
5 11
 
5.1%
ValueCountFrequency (%)
5 11
 
5.1%
4 17
 
7.9%
3 34
 
15.9%
2 43
20.1%
1 88
41.1%

w2_C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)2.6%
Missing20
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean1.81443299
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.882718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.113551913
Coefficient of variation (CV)0.6137189522
Kurtosis1.411815354
Mean1.81443299
Median Absolute Deviation (MAD)0
Skewness1.442551102
Sum352
Variance1.239997863
MonotonicityNot monotonic
2025-02-26T17:47:07.923048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 104
48.6%
2 49
22.9%
3 24
 
11.2%
5 10
 
4.7%
4 7
 
3.3%
(Missing) 20
 
9.3%
ValueCountFrequency (%)
1 104
48.6%
2 49
22.9%
3 24
 
11.2%
4 7
 
3.3%
5 10
 
4.7%
ValueCountFrequency (%)
5 10
 
4.7%
4 7
 
3.3%
3 24
 
11.2%
2 49
22.9%
1 104
48.6%

w2_D01
Real number (ℝ)

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.514150943
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:07.963743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5009826702
Coefficient of variation (CV)0.3308670595
Kurtosis-2.015855269
Mean1.514150943
Median Absolute Deviation (MAD)0
Skewness-0.05703077226
Sum321
Variance0.2509836359
MonotonicityNot monotonic
2025-02-26T17:47:08.001210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 109
50.9%
1 103
48.1%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 103
48.1%
2 109
50.9%
ValueCountFrequency (%)
2 109
50.9%
1 103
48.1%

w2_D02
Real number (ℝ)

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.509433962
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.037669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5010942154
Coefficient of variation (CV)0.3319749177
Kurtosis-2.017680078
Mean1.509433962
Median Absolute Deviation (MAD)0
Skewness-0.03801205135
Sum320
Variance0.2510954127
MonotonicityNot monotonic
2025-02-26T17:47:08.076055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 108
50.5%
1 104
48.6%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 104
48.6%
2 108
50.5%
ValueCountFrequency (%)
2 108
50.5%
1 104
48.6%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct4
Distinct (%)3.2%
Missing89
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean2.224
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.110779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.069096694
Coefficient of variation (CV)0.4807089453
Kurtosis-1.222479392
Mean2.224
Median Absolute Deviation (MAD)1
Skewness0.2639487128
Sum278
Variance1.142967742
MonotonicityNot monotonic
2025-02-26T17:47:08.147497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 42
19.6%
3 34
 
15.9%
2 31
 
14.5%
4 18
 
8.4%
(Missing) 89
41.6%
ValueCountFrequency (%)
1 42
19.6%
2 31
14.5%
3 34
15.9%
4 18
8.4%
ValueCountFrequency (%)
4 18
8.4%
3 34
15.9%
2 31
14.5%
1 42
19.6%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)3.1%
Missing87
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean1.866141732
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.183022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034041268
Coefficient of variation (CV)0.5541065025
Kurtosis-0.8169721716
Mean1.866141732
Median Absolute Deviation (MAD)0
Skewness0.754149648
Sum237
Variance1.069241345
MonotonicityNot monotonic
2025-02-26T17:47:08.221190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 66
30.8%
3 27
 
12.6%
2 23
 
10.7%
4 11
 
5.1%
(Missing) 87
40.7%
ValueCountFrequency (%)
1 66
30.8%
2 23
 
10.7%
3 27
12.6%
4 11
 
5.1%
ValueCountFrequency (%)
4 11
 
5.1%
3 27
12.6%
2 23
 
10.7%
1 66
30.8%

w2_D03_3
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct3
Distinct (%)2.4%
Missing91
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean1.073170732
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.260100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.9
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3180558696
Coefficient of variation (CV)0.2963702421
Kurtosis23.22657984
Mean1.073170732
Median Absolute Deviation (MAD)0
Skewness4.724317579
Sum132
Variance0.1011595362
MonotonicityNot monotonic
2025-02-26T17:47:08.301058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 116
54.2%
2 5
 
2.3%
3 2
 
0.9%
(Missing) 91
42.5%
ValueCountFrequency (%)
1 116
54.2%
2 5
 
2.3%
3 2
 
0.9%
ValueCountFrequency (%)
3 2
 
0.9%
2 5
 
2.3%
1 116
54.2%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct4
Distinct (%)3.2%
Missing89
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean1.952
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.340693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.14198469
Coefficient of variation (CV)0.5850331404
Kurtosis-1.084126797
Mean1.952
Median Absolute Deviation (MAD)0
Skewness0.689532376
Sum244
Variance1.304129032
MonotonicityNot monotonic
2025-02-26T17:47:08.377947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 66
30.8%
3 24
 
11.2%
4 18
 
8.4%
2 17
 
7.9%
(Missing) 89
41.6%
ValueCountFrequency (%)
1 66
30.8%
2 17
 
7.9%
3 24
 
11.2%
4 18
 
8.4%
ValueCountFrequency (%)
4 18
 
8.4%
3 24
 
11.2%
2 17
 
7.9%
1 66
30.8%

w2_D03_5
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct4
Distinct (%)3.2%
Missing88
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean2.166666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.414487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.041153207
Coefficient of variation (CV)0.4805322493
Kurtosis-1.331375354
Mean2.166666667
Median Absolute Deviation (MAD)1
Skewness0.1776664353
Sum273
Variance1.084
MonotonicityNot monotonic
2025-02-26T17:47:08.451504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 47
22.0%
3 44
20.6%
2 23
 
10.7%
4 12
 
5.6%
(Missing) 88
41.1%
ValueCountFrequency (%)
1 47
22.0%
2 23
10.7%
3 44
20.6%
4 12
 
5.6%
ValueCountFrequency (%)
4 12
 
5.6%
3 44
20.6%
2 23
10.7%
1 47
22.0%

w2_D03_6
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct4
Distinct (%)3.3%
Missing91
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean1.203252033
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.488087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6267186154
Coefficient of variation (CV)0.5208539844
Kurtosis10.22175564
Mean1.203252033
Median Absolute Deviation (MAD)0
Skewness3.274811825
Sum148
Variance0.3927762228
MonotonicityNot monotonic
2025-02-26T17:47:08.525018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 109
50.9%
2 6
 
2.8%
3 5
 
2.3%
4 3
 
1.4%
(Missing) 91
42.5%
ValueCountFrequency (%)
1 109
50.9%
2 6
 
2.8%
3 5
 
2.3%
4 3
 
1.4%
ValueCountFrequency (%)
4 3
 
1.4%
3 5
 
2.3%
2 6
 
2.8%
1 109
50.9%

w2_D03_7
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct4
Distinct (%)3.2%
Missing89
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean1.376
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.562436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7032642783
Coefficient of variation (CV)0.5110932255
Kurtosis2.78775539
Mean1.376
Median Absolute Deviation (MAD)0
Skewness1.865642689
Sum172
Variance0.4945806452
MonotonicityNot monotonic
2025-02-26T17:47:08.598854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 92
43.0%
2 21
 
9.8%
3 10
 
4.7%
4 2
 
0.9%
(Missing) 89
41.6%
ValueCountFrequency (%)
1 92
43.0%
2 21
 
9.8%
3 10
 
4.7%
4 2
 
0.9%
ValueCountFrequency (%)
4 2
 
0.9%
3 10
 
4.7%
2 21
 
9.8%
1 92
43.0%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct4
Distinct (%)3.1%
Missing87
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean1.976377953
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.635546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9212187143
Coefficient of variation (CV)0.4661146483
Kurtosis-0.2376163716
Mean1.976377953
Median Absolute Deviation (MAD)1
Skewness0.7279682417
Sum251
Variance0.8486439195
MonotonicityNot monotonic
2025-02-26T17:47:08.672605image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 53
24.8%
1 44
20.6%
3 19
 
8.9%
4 11
 
5.1%
(Missing) 87
40.7%
ValueCountFrequency (%)
1 44
20.6%
2 53
24.8%
3 19
 
8.9%
4 11
 
5.1%
ValueCountFrequency (%)
4 11
 
5.1%
3 19
 
8.9%
2 53
24.8%
1 44
20.6%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct4
Distinct (%)3.1%
Missing83
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean2.106870229
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.708997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9385087057
Coefficient of variation (CV)0.4454515958
Kurtosis-0.7684503667
Mean2.106870229
Median Absolute Deviation (MAD)1
Skewness0.4075606571
Sum276
Variance0.8807985907
MonotonicityNot monotonic
2025-02-26T17:47:08.746956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 48
22.4%
1 40
18.7%
3 32
 
15.0%
4 11
 
5.1%
(Missing) 83
38.8%
ValueCountFrequency (%)
1 40
18.7%
2 48
22.4%
3 32
15.0%
4 11
 
5.1%
ValueCountFrequency (%)
4 11
 
5.1%
3 32
15.0%
2 48
22.4%
1 40
18.7%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)3.9%
Missing85
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean3.782945736
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.784661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.316726767
Coefficient of variation (CV)0.348069166
Kurtosis-0.6171382865
Mean3.782945736
Median Absolute Deviation (MAD)1
Skewness-0.8000990547
Sum488
Variance1.73376938
MonotonicityNot monotonic
2025-02-26T17:47:08.826086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 52
24.3%
4 35
16.4%
2 18
 
8.4%
3 14
 
6.5%
1 10
 
4.7%
(Missing) 85
39.7%
ValueCountFrequency (%)
1 10
 
4.7%
2 18
 
8.4%
3 14
 
6.5%
4 35
16.4%
5 52
24.3%
ValueCountFrequency (%)
5 52
24.3%
4 35
16.4%
3 14
 
6.5%
2 18
 
8.4%
1 10
 
4.7%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)4.0%
Missing88
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean2.468253968
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.865993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.157144817
Coefficient of variation (CV)0.4688110833
Kurtosis-0.7308321858
Mean2.468253968
Median Absolute Deviation (MAD)1
Skewness0.3932008233
Sum311
Variance1.338984127
MonotonicityNot monotonic
2025-02-26T17:47:08.906200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 39
18.2%
3 31
 
14.5%
1 30
 
14.0%
4 20
 
9.3%
5 6
 
2.8%
(Missing) 88
41.1%
ValueCountFrequency (%)
1 30
14.0%
2 39
18.2%
3 31
14.5%
4 20
9.3%
5 6
 
2.8%
ValueCountFrequency (%)
5 6
 
2.8%
4 20
9.3%
3 31
14.5%
2 39
18.2%
1 30
14.0%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)4.1%
Missing92
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean1.975409836
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:08.946567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.116836698
Coefficient of variation (CV)0.5653696149
Kurtosis-0.2132247803
Mean1.975409836
Median Absolute Deviation (MAD)1
Skewness0.8814152462
Sum241
Variance1.247324211
MonotonicityNot monotonic
2025-02-26T17:47:08.987181image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 57
26.6%
2 28
 
13.1%
3 23
 
10.7%
4 11
 
5.1%
5 3
 
1.4%
(Missing) 92
43.0%
ValueCountFrequency (%)
1 57
26.6%
2 28
13.1%
3 23
10.7%
4 11
 
5.1%
5 3
 
1.4%
ValueCountFrequency (%)
5 3
 
1.4%
4 11
 
5.1%
3 23
10.7%
2 28
13.1%
1 57
26.6%

w2_D06_1
Boolean

Imbalance 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
213 
True
 
1
ValueCountFrequency (%)
False 213
99.5%
True 1
 
0.5%
2025-02-26T17:47:09.092720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Imbalance 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
204 
True
 
10
ValueCountFrequency (%)
False 204
95.3%
True 10
 
4.7%
2025-02-26T17:47:09.128218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
188 
True
26 
ValueCountFrequency (%)
False 188
87.9%
True 26
 
12.1%
2025-02-26T17:47:09.163845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
160 
True
54 
ValueCountFrequency (%)
False 160
74.8%
True 54
 
25.2%
2025-02-26T17:47:09.200677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
False
146 
True
68 
ValueCountFrequency (%)
False 146
68.2%
True 68
31.8%
2025-02-26T17:47:09.236849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Text

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Distinct6
Distinct (%)100.0%
Missing208
Missing (%)97.2%
Memory size2.2 KiB
2025-02-26T17:47:09.329650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length77
Median length26
Mean length37.16666667
Min length4

Characters and Unicode

Total characters223
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowутас
2nd rowТеннисний ракет гэх мэт
3rd rowхамгаалалтын бүс, бээлий
4th rowДасгалын гудас, сунгалтын резинэн утас, хэвлийн дасгалын өнхөрүүлэг AB roller
5th rowХүндрүүлэгч чангалаад корсет
ValueCountFrequency (%)
утас 2
 
6.7%
дасгалын 2
 
6.7%
теннисний 1
 
3.3%
ракет 1
 
3.3%
гэх 1
 
3.3%
мэт 1
 
3.3%
хамгаалалтын 1
 
3.3%
бүс 1
 
3.3%
бээлий 1
 
3.3%
гудас 1
 
3.3%
Other values (18) 18
60.0%
2025-02-26T17:47:09.483169image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
10.8%
а 22
 
9.9%
э 19
 
8.5%
г 16
 
7.2%
л 15
 
6.7%
н 14
 
6.3%
х 10
 
4.5%
с 9
 
4.0%
ү 9
 
4.0%
т 8
 
3.6%
Other values (28) 77
34.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24
 
10.8%
а 22
 
9.9%
э 19
 
8.5%
г 16
 
7.2%
л 15
 
6.7%
н 14
 
6.3%
х 10
 
4.5%
с 9
 
4.0%
ү 9
 
4.0%
т 8
 
3.6%
Other values (28) 77
34.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24
 
10.8%
а 22
 
9.9%
э 19
 
8.5%
г 16
 
7.2%
л 15
 
6.7%
н 14
 
6.3%
х 10
 
4.5%
с 9
 
4.0%
ү 9
 
4.0%
т 8
 
3.6%
Other values (28) 77
34.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24
 
10.8%
а 22
 
9.9%
э 19
 
8.5%
г 16
 
7.2%
л 15
 
6.7%
н 14
 
6.3%
х 10
 
4.5%
с 9
 
4.0%
ү 9
 
4.0%
т 8
 
3.6%
Other values (28) 77
34.5%

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct5
Distinct (%)3.8%
Missing84
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean2.284615385
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.529391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.156274527
Coefficient of variation (CV)0.5061134292
Kurtosis-0.3979341213
Mean2.284615385
Median Absolute Deviation (MAD)1
Skewness0.7065848813
Sum297
Variance1.336970781
MonotonicityNot monotonic
2025-02-26T17:47:09.570635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 49
22.9%
1 37
17.3%
3 20
 
9.3%
4 18
 
8.4%
5 6
 
2.8%
(Missing) 84
39.3%
ValueCountFrequency (%)
1 37
17.3%
2 49
22.9%
3 20
9.3%
4 18
 
8.4%
5 6
 
2.8%
ValueCountFrequency (%)
5 6
 
2.8%
4 18
 
8.4%
3 20
9.3%
2 49
22.9%
1 37
17.3%

w2_D07_2
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct5
Distinct (%)3.8%
Missing84
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean1.546153846
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.610316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8901836624
Coefficient of variation (CV)0.5757406772
Kurtosis2.641302917
Mean1.546153846
Median Absolute Deviation (MAD)0
Skewness1.700198132
Sum201
Variance0.7924269529
MonotonicityNot monotonic
2025-02-26T17:47:09.651250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 86
40.2%
2 23
 
10.7%
3 17
 
7.9%
4 2
 
0.9%
5 2
 
0.9%
(Missing) 84
39.3%
ValueCountFrequency (%)
1 86
40.2%
2 23
 
10.7%
3 17
 
7.9%
4 2
 
0.9%
5 2
 
0.9%
ValueCountFrequency (%)
5 2
 
0.9%
4 2
 
0.9%
3 17
 
7.9%
2 23
 
10.7%
1 86
40.2%

w2_D07_3
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct5
Distinct (%)3.9%
Missing85
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean1.620155039
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.692178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009283459
Coefficient of variation (CV)0.6229548623
Kurtosis2.204594386
Mean1.620155039
Median Absolute Deviation (MAD)0
Skewness1.703109362
Sum209
Variance1.018653101
MonotonicityNot monotonic
2025-02-26T17:47:09.732184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 83
38.8%
2 25
 
11.7%
3 11
 
5.1%
4 7
 
3.3%
5 3
 
1.4%
(Missing) 85
39.7%
ValueCountFrequency (%)
1 83
38.8%
2 25
 
11.7%
3 11
 
5.1%
4 7
 
3.3%
5 3
 
1.4%
ValueCountFrequency (%)
5 3
 
1.4%
4 7
 
3.3%
3 11
 
5.1%
2 25
 
11.7%
1 83
38.8%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct5
Distinct (%)3.8%
Missing84
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean1.438461538
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.772355image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.55
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9065125794
Coefficient of variation (CV)0.6301959108
Kurtosis4.163342661
Mean1.438461538
Median Absolute Deviation (MAD)0
Skewness2.183506427
Sum187
Variance0.8217650566
MonotonicityNot monotonic
2025-02-26T17:47:09.812674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 99
46.3%
2 14
 
6.5%
3 10
 
4.7%
4 5
 
2.3%
5 2
 
0.9%
(Missing) 84
39.3%
ValueCountFrequency (%)
1 99
46.3%
2 14
 
6.5%
3 10
 
4.7%
4 5
 
2.3%
5 2
 
0.9%
ValueCountFrequency (%)
5 2
 
0.9%
4 5
 
2.3%
3 10
 
4.7%
2 14
 
6.5%
1 99
46.3%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct5
Distinct (%)3.9%
Missing86
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean2.171875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.852327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.65
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.304802607
Coefficient of variation (CV)0.6007724232
Kurtosis-0.8236174621
Mean2.171875
Median Absolute Deviation (MAD)1
Skewness0.7124662888
Sum278
Variance1.702509843
MonotonicityNot monotonic
2025-02-26T17:47:09.894141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 58
27.1%
2 24
 
11.2%
4 20
 
9.3%
3 19
 
8.9%
5 7
 
3.3%
(Missing) 86
40.2%
ValueCountFrequency (%)
1 58
27.1%
2 24
11.2%
3 19
 
8.9%
4 20
 
9.3%
5 7
 
3.3%
ValueCountFrequency (%)
5 7
 
3.3%
4 20
 
9.3%
3 19
 
8.9%
2 24
11.2%
1 58
27.1%

w2_E01_1
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing5
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.755980861
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:09.934432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.430535355
Coefficient of variation (CV)0.2451822594
Kurtosis-0.5640074704
Mean1.755980861
Median Absolute Deviation (MAD)0
Skewness-1.20061734
Sum367
Variance0.1853606919
MonotonicityNot monotonic
2025-02-26T17:47:09.974224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 158
73.8%
1 51
 
23.8%
(Missing) 5
 
2.3%
ValueCountFrequency (%)
1 51
 
23.8%
2 158
73.8%
ValueCountFrequency (%)
2 158
73.8%
1 51
 
23.8%

w2_E01_2
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing5
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.622009569
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.011303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4860493999
Coefficient of variation (CV)0.2996587746
Kurtosis-1.759990596
Mean1.622009569
Median Absolute Deviation (MAD)0
Skewness-0.5068966481
Sum339
Variance0.2362440191
MonotonicityNot monotonic
2025-02-26T17:47:10.049925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 130
60.7%
1 79
36.9%
(Missing) 5
 
2.3%
ValueCountFrequency (%)
1 79
36.9%
2 130
60.7%
ValueCountFrequency (%)
2 130
60.7%
1 79
36.9%

w2_E01_3
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.680952381
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.086723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4672212959
Coefficient of variation (CV)0.277950346
Kurtosis-1.401860008
Mean1.680952381
Median Absolute Deviation (MAD)0
Skewness-0.7820375882
Sum353
Variance0.2182957393
MonotonicityNot monotonic
2025-02-26T17:47:10.125404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 143
66.8%
1 67
31.3%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 67
31.3%
2 143
66.8%
ValueCountFrequency (%)
2 143
66.8%
1 67
31.3%

w2_E01_4
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing5
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.746411483
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.163682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4361093757
Coefficient of variation (CV)0.2497174233
Kurtosis-0.7050432163
Mean1.746411483
Median Absolute Deviation (MAD)0
Skewness-1.140962724
Sum365
Variance0.1901913876
MonotonicityNot monotonic
2025-02-26T17:47:10.201886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 156
72.9%
1 53
 
24.8%
(Missing) 5
 
2.3%
ValueCountFrequency (%)
1 53
 
24.8%
2 156
72.9%
ValueCountFrequency (%)
2 156
72.9%
1 53
 
24.8%

w2_E01_5
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing6
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.889423077
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.238914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3143640983
Coefficient of variation (CV)0.1663809986
Kurtosis4.299162757
Mean1.889423077
Median Absolute Deviation (MAD)0
Skewness-2.501582627
Sum393
Variance0.09882478632
MonotonicityNot monotonic
2025-02-26T17:47:10.278514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 185
86.4%
1 23
 
10.7%
(Missing) 6
 
2.8%
ValueCountFrequency (%)
1 23
 
10.7%
2 185
86.4%
ValueCountFrequency (%)
2 185
86.4%
1 23
 
10.7%

w2_E01_6
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.0%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.619047619
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.316985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4867812922
Coefficient of variation (CV)0.3006590334
Kurtosis-1.773115915
Mean1.619047619
Median Absolute Deviation (MAD)0
Skewness-0.493824679
Sum340
Variance0.2369560264
MonotonicityNot monotonic
2025-02-26T17:47:10.356023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 130
60.7%
1 80
37.4%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 80
37.4%
2 130
60.7%
ValueCountFrequency (%)
2 130
60.7%
1 80
37.4%

w2_E02_1
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)1.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.848341232
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.391286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8867998095
Coefficient of variation (CV)0.3113390346
Kurtosis-0.2760318372
Mean2.848341232
Median Absolute Deviation (MAD)1
Skewness-0.5661363641
Sum601
Variance0.7864139021
MonotonicityNot monotonic
2025-02-26T17:47:10.427932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 104
48.6%
4 48
22.4%
2 38
 
17.8%
1 21
 
9.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 21
 
9.8%
2 38
 
17.8%
3 104
48.6%
4 48
22.4%
ValueCountFrequency (%)
4 48
22.4%
3 104
48.6%
2 38
 
17.8%
1 21
 
9.8%

w2_E02_2
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)1.9%
Missing5
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.779904306
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.464761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8821836927
Coefficient of variation (CV)0.4956354618
Kurtosis-0.5845577408
Mean1.779904306
Median Absolute Deviation (MAD)1
Skewness0.7431743898
Sum372
Variance0.7782480677
MonotonicityNot monotonic
2025-02-26T17:47:10.501467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 102
47.7%
2 58
27.1%
3 42
19.6%
4 7
 
3.3%
(Missing) 5
 
2.3%
ValueCountFrequency (%)
1 102
47.7%
2 58
27.1%
3 42
19.6%
4 7
 
3.3%
ValueCountFrequency (%)
4 7
 
3.3%
3 42
19.6%
2 58
27.1%
1 102
47.7%

w2_E02_3
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)1.9%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.204761905
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.538777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9884385204
Coefficient of variation (CV)0.4483198473
Kurtosis-1.051633488
Mean2.204761905
Median Absolute Deviation (MAD)1
Skewness0.2389193906
Sum463
Variance0.9770107086
MonotonicityNot monotonic
2025-02-26T17:47:10.577492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 63
29.4%
2 63
29.4%
3 62
29.0%
4 22
 
10.3%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 63
29.4%
2 63
29.4%
3 62
29.0%
4 22
 
10.3%
ValueCountFrequency (%)
4 22
 
10.3%
3 62
29.0%
2 63
29.4%
1 63
29.4%

w2_E02_4
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)1.9%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.547619048
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.615374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9535223281
Coefficient of variation (CV)0.3742797924
Kurtosis-0.8671244697
Mean2.547619048
Median Absolute Deviation (MAD)1
Skewness-0.2879032555
Sum535
Variance0.9092048303
MonotonicityNot monotonic
2025-02-26T17:47:10.652697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 94
43.9%
2 47
22.0%
1 39
18.2%
4 30
 
14.0%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 39
18.2%
2 47
22.0%
3 94
43.9%
4 30
 
14.0%
ValueCountFrequency (%)
4 30
 
14.0%
3 94
43.9%
2 47
22.0%
1 39
18.2%

w2_E02_5
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct4
Distinct (%)1.9%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.519047619
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.688712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8370139724
Coefficient of variation (CV)0.551012333
Kurtosis0.7574255311
Mean1.519047619
Median Absolute Deviation (MAD)0
Skewness1.397391142
Sum319
Variance0.7005923901
MonotonicityNot monotonic
2025-02-26T17:47:10.727613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 142
66.4%
2 33
 
15.4%
3 29
 
13.6%
4 6
 
2.8%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 142
66.4%
2 33
 
15.4%
3 29
 
13.6%
4 6
 
2.8%
ValueCountFrequency (%)
4 6
 
2.8%
3 29
 
13.6%
2 33
 
15.4%
1 142
66.4%

w2_F02_1
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.748815166
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.766230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7227171079
Coefficient of variation (CV)0.4132610021
Kurtosis-0.9995847449
Mean1.748815166
Median Absolute Deviation (MAD)1
Skewness0.420258062
Sum369
Variance0.5223200181
MonotonicityNot monotonic
2025-02-26T17:47:10.806318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 88
41.1%
1 88
41.1%
3 35
 
16.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 88
41.1%
2 88
41.1%
3 35
 
16.4%
ValueCountFrequency (%)
3 35
 
16.4%
2 88
41.1%
1 88
41.1%

w2_F02_2
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.909952607
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.846804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8085527916
Coefficient of variation (CV)0.4233365733
Kurtosis-1.451176701
Mean1.909952607
Median Absolute Deviation (MAD)1
Skewness0.1659035134
Sum403
Variance0.6537576168
MonotonicityNot monotonic
2025-02-26T17:47:10.886669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 79
36.9%
2 72
33.6%
3 60
28.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 79
36.9%
2 72
33.6%
3 60
28.0%
ValueCountFrequency (%)
3 60
28.0%
2 72
33.6%
1 79
36.9%

w2_F02_3
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.061611374
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:10.926082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8679451709
Coefficient of variation (CV)0.4210032898
Kurtosis-1.666979856
Mean2.061611374
Median Absolute Deviation (MAD)1
Skewness-0.1197730847
Sum435
Variance0.7533288197
MonotonicityNot monotonic
2025-02-26T17:47:10.967542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 86
40.2%
1 73
34.1%
2 52
24.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 73
34.1%
2 52
24.3%
3 86
40.2%
ValueCountFrequency (%)
3 86
40.2%
2 52
24.3%
1 73
34.1%

w2_F02_4
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Distinct3
Distinct (%)1.4%
Missing6
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean2.086538462
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.009991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8295342611
Coefficient of variation (CV)0.3975648072
Kurtosis-1.529505329
Mean2.086538462
Median Absolute Deviation (MAD)1
Skewness-0.1633418328
Sum434
Variance0.6881270903
MonotonicityNot monotonic
2025-02-26T17:47:11.050742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 81
37.9%
2 64
29.9%
1 63
29.4%
(Missing) 6
 
2.8%
ValueCountFrequency (%)
1 63
29.4%
2 64
29.9%
3 81
37.9%
ValueCountFrequency (%)
3 81
37.9%
2 64
29.9%
1 63
29.4%

w2_F02_5
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.578199052
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.089996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7667485949
Coefficient of variation (CV)0.4858376983
Kurtosis-0.7372206797
Mean1.578199052
Median Absolute Deviation (MAD)0
Skewness0.8858374408
Sum333
Variance0.5879034078
MonotonicityNot monotonic
2025-02-26T17:47:11.130752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 125
58.4%
2 50
 
23.4%
3 36
 
16.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 125
58.4%
2 50
 
23.4%
3 36
 
16.8%
ValueCountFrequency (%)
3 36
 
16.8%
2 50
 
23.4%
1 125
58.4%

w2_F02_6
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.995260664
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.171585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8591115584
Coefficient of variation (CV)0.4305761017
Kurtosis-1.649128021
Mean1.995260664
Median Absolute Deviation (MAD)1
Skewness0.009126478657
Sum421
Variance0.7380726698
MonotonicityNot monotonic
2025-02-26T17:47:11.211092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 78
36.4%
3 77
36.0%
2 56
26.2%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 78
36.4%
2 56
26.2%
3 77
36.0%
ValueCountFrequency (%)
3 77
36.0%
2 56
26.2%
1 78
36.4%

w2_F02_7
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.853080569
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.250975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8350805425
Coefficient of variation (CV)0.4506444871
Kurtosis-1.511392455
Mean1.853080569
Median Absolute Deviation (MAD)1
Skewness0.2824643973
Sum391
Variance0.6973595125
MonotonicityNot monotonic
2025-02-26T17:47:11.290554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 91
42.5%
2 60
28.0%
3 60
28.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 91
42.5%
2 60
28.0%
3 60
28.0%
ValueCountFrequency (%)
3 60
28.0%
2 60
28.0%
1 91
42.5%

w2_F02_8
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Distinct3
Distinct (%)1.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.99047619
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.330087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8183919125
Coefficient of variation (CV)0.4111538316
Kurtosis-1.506793459
Mean1.99047619
Median Absolute Deviation (MAD)1
Skewness0.01762288032
Sum418
Variance0.6697653224
MonotonicityNot monotonic
2025-02-26T17:47:11.372443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 71
33.2%
2 70
32.7%
3 69
32.2%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 71
33.2%
2 70
32.7%
3 69
32.2%
ValueCountFrequency (%)
3 69
32.2%
2 70
32.7%
1 71
33.2%

w2_F02_9
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.218009479
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.412840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7621134898
Coefficient of variation (CV)0.3436024495
Kurtosis-1.182728378
Mean2.218009479
Median Absolute Deviation (MAD)1
Skewness-0.390541806
Sum468
Variance0.5808169713
MonotonicityNot monotonic
2025-02-26T17:47:11.518937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 89
41.6%
2 79
36.9%
1 43
20.1%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 43
20.1%
2 79
36.9%
3 89
41.6%
ValueCountFrequency (%)
3 89
41.6%
2 79
36.9%
1 43
20.1%

w2_F02_10
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Distinct3
Distinct (%)1.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.238095238
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.558593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2.5
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8417776761
Coefficient of variation (CV)0.3761134297
Kurtosis-1.427584008
Mean2.238095238
Median Absolute Deviation (MAD)0.5
Skewness-0.4747220663
Sum470
Variance0.708589656
MonotonicityNot monotonic
2025-02-26T17:47:11.598611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 105
49.1%
1 55
25.7%
2 50
23.4%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 55
25.7%
2 50
23.4%
3 105
49.1%
ValueCountFrequency (%)
3 105
49.1%
2 50
23.4%
1 55
25.7%

w2_F02_11
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.620853081
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.638826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7485485843
Coefficient of variation (CV)0.4618238342
Kurtosis-0.8389889266
Mean1.620853081
Median Absolute Deviation (MAD)0
Skewness0.7489307747
Sum342
Variance0.5603249831
MonotonicityNot monotonic
2025-02-26T17:47:11.678794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 114
53.3%
2 63
29.4%
3 34
 
15.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 114
53.3%
2 63
29.4%
3 34
 
15.9%
ValueCountFrequency (%)
3 34
 
15.9%
2 63
29.4%
1 114
53.3%

w2_F02_12
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.047393365
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.718900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8267148594
Coefficient of variation (CV)0.4037889707
Kurtosis-1.532372034
Mean2.047393365
Median Absolute Deviation (MAD)1
Skewness-0.08873455383
Sum432
Variance0.6834574588
MonotonicityNot monotonic
2025-02-26T17:47:11.758630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 77
36.0%
2 67
31.3%
1 67
31.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 67
31.3%
2 67
31.3%
3 77
36.0%
ValueCountFrequency (%)
3 77
36.0%
2 67
31.3%
1 67
31.3%

w2_F02_13
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.938388626
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.797603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8734143514
Coefficient of variation (CV)0.4505878439
Kurtosis-1.683908154
Mean1.938388626
Median Absolute Deviation (MAD)1
Skewness0.1202044215
Sum409
Variance0.7628526292
MonotonicityNot monotonic
2025-02-26T17:47:11.838157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 87
40.7%
3 74
34.6%
2 50
23.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 87
40.7%
2 50
23.4%
3 74
34.6%
ValueCountFrequency (%)
3 74
34.6%
2 50
23.4%
1 87
40.7%

w2_F02_14
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Distinct3
Distinct (%)1.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean1.519047619
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.877171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7463589754
Coefficient of variation (CV)0.4913334948
Kurtosis-0.4095977502
Mean1.519047619
Median Absolute Deviation (MAD)0
Skewness1.049721683
Sum319
Variance0.5570517202
MonotonicityNot monotonic
2025-02-26T17:47:11.918527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 133
62.1%
2 45
 
21.0%
3 32
 
15.0%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 133
62.1%
2 45
 
21.0%
3 32
 
15.0%
ValueCountFrequency (%)
3 32
 
15.0%
2 45
 
21.0%
1 133
62.1%

w2_F02_15
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.516587678
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:11.958365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6924488743
Coefficient of variation (CV)0.4565834765
Kurtosis-0.3042621156
Mean1.516587678
Median Absolute Deviation (MAD)0
Skewness0.9826270404
Sum320
Variance0.4794854435
MonotonicityNot monotonic
2025-02-26T17:47:11.999791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 126
58.9%
2 61
28.5%
3 24
 
11.2%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 126
58.9%
2 61
28.5%
3 24
 
11.2%
ValueCountFrequency (%)
3 24
 
11.2%
2 61
28.5%
1 126
58.9%

w2_F02_16
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.208530806
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.039827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8130619509
Coefficient of variation (CV)0.3681460765
Kurtosis-1.37588514
Mean2.208530806
Median Absolute Deviation (MAD)1
Skewness-0.4003553505
Sum466
Variance0.661069736
MonotonicityNot monotonic
2025-02-26T17:47:12.080186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 96
44.9%
2 63
29.4%
1 52
24.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 52
24.3%
2 63
29.4%
3 96
44.9%
ValueCountFrequency (%)
3 96
44.9%
2 63
29.4%
1 52
24.3%

w2_F02_17
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.909952607
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.120549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6944991327
Coefficient of variation (CV)0.363621134
Kurtosis-0.9134110061
Mean1.909952607
Median Absolute Deviation (MAD)0
Skewness0.122226095
Sum403
Variance0.4823290454
MonotonicityNot monotonic
2025-02-26T17:47:12.160661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 108
50.5%
1 61
28.5%
3 42
 
19.6%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 61
28.5%
2 108
50.5%
3 42
 
19.6%
ValueCountFrequency (%)
3 42
 
19.6%
2 108
50.5%
1 61
28.5%

w2_F02_18
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.341232227
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.200884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5913313454
Coefficient of variation (CV)0.4408866215
Kurtosis1.330559587
Mean1.341232227
Median Absolute Deviation (MAD)0
Skewness1.544850652
Sum283
Variance0.3496727601
MonotonicityNot monotonic
2025-02-26T17:47:12.242303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 152
71.0%
2 46
 
21.5%
3 13
 
6.1%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 152
71.0%
2 46
 
21.5%
3 13
 
6.1%
ValueCountFrequency (%)
3 13
 
6.1%
2 46
 
21.5%
1 152
71.0%

w2_F02_19
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.767772512
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.282572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7976777398
Coefficient of variation (CV)0.4512332523
Kurtosis-1.293769111
Mean1.767772512
Median Absolute Deviation (MAD)1
Skewness0.4426557111
Sum373
Variance0.6362897766
MonotonicityNot monotonic
2025-02-26T17:47:12.323271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 97
45.3%
2 66
30.8%
3 48
22.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 97
45.3%
2 66
30.8%
3 48
22.4%
ValueCountFrequency (%)
3 48
22.4%
2 66
30.8%
1 97
45.3%

w2_F02_20
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Distinct3
Distinct (%)1.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.303317536
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.362776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6567875562
Coefficient of variation (CV)0.2851485069
Kurtosis-0.7336263653
Mean2.303317536
Median Absolute Deviation (MAD)1
Skewness-0.4126487555
Sum486
Variance0.4313698939
MonotonicityNot monotonic
2025-02-26T17:47:12.403588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 101
47.2%
3 87
40.7%
1 23
 
10.7%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 23
 
10.7%
2 101
47.2%
3 87
40.7%
ValueCountFrequency (%)
3 87
40.7%
2 101
47.2%
1 23
 
10.7%

w2_F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.304347826
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.442294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255660856
Coefficient of variation (CV)0.5449094281
Kurtosis3.548537343
Mean2.304347826
Median Absolute Deviation (MAD)1
Skewness1.37539551
Sum212
Variance1.576684185
MonotonicityNot monotonic
2025-02-26T17:47:12.481144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 28
 
13.1%
1 28
 
13.1%
3 24
 
11.2%
4 7
 
3.3%
5 4
 
1.9%
8 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 28
13.1%
2 28
13.1%
3 24
11.2%
4 7
 
3.3%
5 4
 
1.9%
ValueCountFrequency (%)
8 1
 
0.5%
5 4
 
1.9%
4 7
 
3.3%
3 24
11.2%
2 28
13.1%

w2_F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.826086957
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.518476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.654887504
Coefficient of variation (CV)0.4325274159
Kurtosis-0.1000394498
Mean3.826086957
Median Absolute Deviation (MAD)1
Skewness0.2392062912
Sum352
Variance2.738652652
MonotonicityNot monotonic
2025-02-26T17:47:12.557422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 26
 
12.1%
3 19
 
8.9%
6 13
 
6.1%
5 12
 
5.6%
2 10
 
4.7%
1 9
 
4.2%
8 3
 
1.4%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 9
 
4.2%
2 10
 
4.7%
3 19
8.9%
4 26
12.1%
5 12
5.6%
ValueCountFrequency (%)
8 3
 
1.4%
6 13
6.1%
5 12
5.6%
4 26
12.1%
3 19
8.9%

w2_F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean1.673913043
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.596672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.120328598
Coefficient of variation (CV)0.6692872146
Kurtosis3.368502867
Mean1.673913043
Median Absolute Deviation (MAD)0
Skewness1.924635176
Sum154
Variance1.255136168
MonotonicityNot monotonic
2025-02-26T17:47:12.635000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 58
27.1%
2 19
 
8.9%
3 7
 
3.3%
4 4
 
1.9%
5 3
 
1.4%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 58
27.1%
2 19
 
8.9%
3 7
 
3.3%
4 4
 
1.9%
5 3
 
1.4%
ValueCountFrequency (%)
6 1
 
0.5%
5 3
 
1.4%
4 4
 
1.9%
3 7
 
3.3%
2 19
8.9%

w2_F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.184782609
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.670138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.696339613
Coefficient of variation (CV)0.5326390595
Kurtosis-0.9812227911
Mean3.184782609
Median Absolute Deviation (MAD)1
Skewness0.2974578548
Sum293
Variance2.877568084
MonotonicityNot monotonic
2025-02-26T17:47:12.705763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 20
 
9.3%
4 18
 
8.4%
3 17
 
7.9%
2 16
 
7.5%
6 11
 
5.1%
5 9
 
4.2%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 20
9.3%
2 16
7.5%
3 17
7.9%
4 18
8.4%
5 9
4.2%
ValueCountFrequency (%)
7 1
 
0.5%
6 11
5.1%
5 9
4.2%
4 18
8.4%
3 17
7.9%

w2_F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct6
Distinct (%)6.6%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1.659340659
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.741441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.127630556
Coefficient of variation (CV)0.6795654346
Kurtosis10.83755594
Mean1.659340659
Median Absolute Deviation (MAD)0
Skewness2.753774955
Sum151
Variance1.271550672
MonotonicityNot monotonic
2025-02-26T17:47:12.779939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 56
26.2%
2 21
 
9.8%
3 8
 
3.7%
4 4
 
1.9%
5 1
 
0.5%
8 1
 
0.5%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 56
26.2%
2 21
 
9.8%
3 8
 
3.7%
4 4
 
1.9%
5 1
 
0.5%
ValueCountFrequency (%)
8 1
 
0.5%
5 1
 
0.5%
4 4
 
1.9%
3 8
 
3.7%
2 21
9.8%

w2_F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.304347826
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.817566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.315496233
Coefficient of variation (CV)0.5708757238
Kurtosis-0.3507356728
Mean2.304347826
Median Absolute Deviation (MAD)1
Skewness0.7777709803
Sum212
Variance1.730530339
MonotonicityNot monotonic
2025-02-26T17:47:12.864757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 33
 
15.4%
2 25
 
11.7%
3 15
 
7.0%
4 12
 
5.6%
5 6
 
2.8%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 33
15.4%
2 25
11.7%
3 15
7.0%
4 12
 
5.6%
5 6
 
2.8%
ValueCountFrequency (%)
6 1
 
0.5%
5 6
 
2.8%
4 12
5.6%
3 15
7.0%
2 25
11.7%

w2_F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.347826087
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:12.928264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.142916864
Coefficient of variation (CV)0.4867979236
Kurtosis0.6382534632
Mean2.347826087
Median Absolute Deviation (MAD)1
Skewness0.8584408764
Sum216
Variance1.306258958
MonotonicityNot monotonic
2025-02-26T17:47:12.969070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 32
 
15.0%
3 26
 
12.1%
1 23
 
10.7%
5 5
 
2.3%
4 5
 
2.3%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 23
10.7%
2 32
15.0%
3 26
12.1%
4 5
 
2.3%
5 5
 
2.3%
ValueCountFrequency (%)
6 1
 
0.5%
5 5
 
2.3%
4 5
 
2.3%
3 26
12.1%
2 32
15.0%

w2_F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.206521739
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.006660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.253899793
Coefficient of variation (CV)0.5682698571
Kurtosis6.34069331
Mean2.206521739
Median Absolute Deviation (MAD)1
Skewness2.025860763
Sum203
Variance1.572264692
MonotonicityNot monotonic
2025-02-26T17:47:13.046814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 37
 
17.3%
1 27
 
12.6%
3 19
 
8.9%
4 6
 
2.8%
6 1
 
0.5%
8 1
 
0.5%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 27
12.6%
2 37
17.3%
3 19
8.9%
4 6
 
2.8%
6 1
 
0.5%
ValueCountFrequency (%)
8 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
4 6
 
2.8%
3 19
8.9%

w2_F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)8.8%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.032967033
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.089068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.682924369
Coefficient of variation (CV)0.5548772377
Kurtosis0.2981180843
Mean3.032967033
Median Absolute Deviation (MAD)1
Skewness0.8051145529
Sum276
Variance2.832234432
MonotonicityNot monotonic
2025-02-26T17:47:13.127914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 22
 
10.3%
3 21
 
9.8%
1 18
 
8.4%
5 12
 
5.6%
4 11
 
5.1%
6 4
 
1.9%
8 2
 
0.9%
7 1
 
0.5%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 18
8.4%
2 22
10.3%
3 21
9.8%
4 11
5.1%
5 12
5.6%
ValueCountFrequency (%)
8 2
 
0.9%
7 1
 
0.5%
6 4
 
1.9%
5 12
5.6%
4 11
5.1%

w2_F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.554347826
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.169837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.49257599
Coefficient of variation (CV)0.5843276217
Kurtosis-0.4991909607
Mean2.554347826
Median Absolute Deviation (MAD)1
Skewness0.743833637
Sum235
Variance2.227783086
MonotonicityNot monotonic
2025-02-26T17:47:13.219788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 28
 
13.1%
2 26
 
12.1%
3 14
 
6.5%
4 11
 
5.1%
5 9
 
4.2%
6 4
 
1.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 28
13.1%
2 26
12.1%
3 14
6.5%
4 11
 
5.1%
5 9
 
4.2%
ValueCountFrequency (%)
6 4
 
1.9%
5 9
 
4.2%
4 11
5.1%
3 14
6.5%
2 26
12.1%

w2_F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct5
Distinct (%)5.4%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.339543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.157868447
Coefficient of variation (CV)0.5789342235
Kurtosis0.4381433649
Mean2
Median Absolute Deviation (MAD)1
Skewness1.085469255
Sum184
Variance1.340659341
MonotonicityNot monotonic
2025-02-26T17:47:13.410004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 41
 
19.2%
2 25
 
11.7%
3 16
 
7.5%
5 5
 
2.3%
4 5
 
2.3%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 41
19.2%
2 25
11.7%
3 16
 
7.5%
4 5
 
2.3%
5 5
 
2.3%
ValueCountFrequency (%)
5 5
 
2.3%
4 5
 
2.3%
3 16
 
7.5%
2 25
11.7%
1 41
19.2%

w2_F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.108695652
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.457089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.190221346
Coefficient of variation (CV)0.5644348649
Kurtosis2.075444734
Mean2.108695652
Median Absolute Deviation (MAD)1
Skewness1.344741157
Sum194
Variance1.416626851
MonotonicityNot monotonic
2025-02-26T17:47:13.501645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 34
 
15.9%
2 30
 
14.0%
3 19
 
8.9%
4 5
 
2.3%
6 3
 
1.4%
5 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 34
15.9%
2 30
14.0%
3 19
8.9%
4 5
 
2.3%
5 1
 
0.5%
ValueCountFrequency (%)
6 3
 
1.4%
5 1
 
0.5%
4 5
 
2.3%
3 19
8.9%
2 30
14.0%

w2_F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.391304348
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.541358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.358380757
Coefficient of variation (CV)0.5680501346
Kurtosis-0.5528719578
Mean2.391304348
Median Absolute Deviation (MAD)1
Skewness0.7052903376
Sum220
Variance1.84519828
MonotonicityNot monotonic
2025-02-26T17:47:13.582402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 31
 
14.5%
2 25
 
11.7%
3 15
 
7.0%
4 12
 
5.6%
5 8
 
3.7%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 31
14.5%
2 25
11.7%
3 15
7.0%
4 12
 
5.6%
5 8
 
3.7%
ValueCountFrequency (%)
6 1
 
0.5%
5 8
 
3.7%
4 12
5.6%
3 15
7.0%
2 25
11.7%

w2_F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct5
Distinct (%)5.4%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean1.880434783
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.621614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.12750226
Coefficient of variation (CV)0.5995965778
Kurtosis0.9638409074
Mean1.880434783
Median Absolute Deviation (MAD)1
Skewness1.321738167
Sum173
Variance1.271261347
MonotonicityNot monotonic
2025-02-26T17:47:13.663113image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 45
 
21.0%
2 28
 
13.1%
3 8
 
3.7%
4 7
 
3.3%
5 4
 
1.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 45
21.0%
2 28
13.1%
3 8
 
3.7%
4 7
 
3.3%
5 4
 
1.9%
ValueCountFrequency (%)
5 4
 
1.9%
4 7
 
3.3%
3 8
 
3.7%
2 28
13.1%
1 45
21.0%

w2_F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.369565217
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.700782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427496012
Coefficient of variation (CV)0.4236439777
Kurtosis-0.3961809563
Mean3.369565217
Median Absolute Deviation (MAD)1
Skewness0.0608820957
Sum310
Variance2.037744864
MonotonicityNot monotonic
2025-02-26T17:47:13.739837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 28
 
13.1%
3 18
 
8.4%
2 16
 
7.5%
5 15
 
7.0%
1 11
 
5.1%
7 2
 
0.9%
6 2
 
0.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 11
 
5.1%
2 16
7.5%
3 18
8.4%
4 28
13.1%
5 15
7.0%
ValueCountFrequency (%)
7 2
 
0.9%
6 2
 
0.9%
5 15
7.0%
4 28
13.1%
3 18
8.4%

w2_F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.369565217
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.779015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.442810073
Coefficient of variation (CV)0.6088923245
Kurtosis3.769973587
Mean2.369565217
Median Absolute Deviation (MAD)1
Skewness1.680515914
Sum218
Variance2.081700908
MonotonicityNot monotonic
2025-02-26T17:47:13.819710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 34
 
15.9%
1 27
 
12.6%
3 15
 
7.0%
4 9
 
4.2%
5 4
 
1.9%
8 2
 
0.9%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 27
12.6%
2 34
15.9%
3 15
7.0%
4 9
 
4.2%
5 4
 
1.9%
ValueCountFrequency (%)
8 2
 
0.9%
6 1
 
0.5%
5 4
 
1.9%
4 9
4.2%
3 15
7.0%

w2_F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.402173913
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.856916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.25
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.460541692
Coefficient of variation (CV)0.4292965997
Kurtosis-0.6690049002
Mean3.402173913
Median Absolute Deviation (MAD)1
Skewness0.1327029854
Sum313
Variance2.133182035
MonotonicityNot monotonic
2025-02-26T17:47:13.894007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 24
 
11.2%
4 19
 
8.9%
2 16
 
7.5%
5 16
 
7.5%
1 10
 
4.7%
6 6
 
2.8%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 10
4.7%
2 16
7.5%
3 24
11.2%
4 19
8.9%
5 16
7.5%
ValueCountFrequency (%)
7 1
 
0.5%
6 6
 
2.8%
5 16
7.5%
4 19
8.9%
3 24
11.2%

w2_F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.130434783
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:13.999247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.081486475
Coefficient of variation (CV)0.5076365087
Kurtosis0.8513984676
Mean2.130434783
Median Absolute Deviation (MAD)1
Skewness0.9604105534
Sum196
Variance1.169612996
MonotonicityNot monotonic
2025-02-26T17:47:14.038691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 34
 
15.9%
1 30
 
14.0%
3 17
 
7.9%
4 9
 
4.2%
5 1
 
0.5%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 30
14.0%
2 34
15.9%
3 17
7.9%
4 9
 
4.2%
5 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 1
 
0.5%
4 9
 
4.2%
3 17
7.9%
2 34
15.9%

w2_F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct5
Distinct (%)5.5%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1.681318681
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.076510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.020665588
Coefficient of variation (CV)0.607062539
Kurtosis1.596835091
Mean1.681318681
Median Absolute Deviation (MAD)0
Skewness1.512749582
Sum153
Variance1.041758242
MonotonicityNot monotonic
2025-02-26T17:47:14.116780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 55
25.7%
2 19
 
8.9%
3 10
 
4.7%
4 5
 
2.3%
5 2
 
0.9%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 55
25.7%
2 19
 
8.9%
3 10
 
4.7%
4 5
 
2.3%
5 2
 
0.9%
ValueCountFrequency (%)
5 2
 
0.9%
4 5
 
2.3%
3 10
 
4.7%
2 19
 
8.9%
1 55
25.7%

w2_F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)8.7%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean4.619565217
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.156334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.856632846
Coefficient of variation (CV)0.4019064042
Kurtosis-0.7590754723
Mean4.619565217
Median Absolute Deviation (MAD)1
Skewness-0.2877199847
Sum425
Variance3.447085523
MonotonicityNot monotonic
2025-02-26T17:47:14.196386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 19
 
8.9%
5 17
 
7.9%
4 16
 
7.5%
7 12
 
5.6%
3 10
 
4.7%
2 9
 
4.2%
1 6
 
2.8%
8 3
 
1.4%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 6
 
2.8%
2 9
4.2%
3 10
4.7%
4 16
7.5%
5 17
7.9%
ValueCountFrequency (%)
8 3
 
1.4%
7 12
5.6%
6 19
8.9%
5 17
7.9%
4 16
7.5%

w2_F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.347826087
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.236754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.378283553
Coefficient of variation (CV)0.5870466984
Kurtosis0.2511879793
Mean2.347826087
Median Absolute Deviation (MAD)1
Skewness0.9942478551
Sum216
Variance1.899665552
MonotonicityNot monotonic
2025-02-26T17:47:14.275308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 31
 
14.5%
2 27
 
12.6%
3 18
 
8.4%
5 7
 
3.3%
4 6
 
2.8%
6 3
 
1.4%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 31
14.5%
2 27
12.6%
3 18
8.4%
4 6
 
2.8%
5 7
 
3.3%
ValueCountFrequency (%)
6 3
 
1.4%
5 7
 
3.3%
4 6
 
2.8%
3 18
8.4%
2 27
12.6%

w2_F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.311949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.154303938
Coefficient of variation (CV)0.5130239727
Kurtosis0.3931195305
Mean2.25
Median Absolute Deviation (MAD)1
Skewness0.8517949283
Sum207
Variance1.332417582
MonotonicityNot monotonic
2025-02-26T17:47:14.351676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 31
 
14.5%
1 28
 
13.1%
3 20
 
9.3%
4 9
 
4.2%
5 3
 
1.4%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 28
13.1%
2 31
14.5%
3 20
9.3%
4 9
 
4.2%
5 3
 
1.4%
ValueCountFrequency (%)
6 1
 
0.5%
5 3
 
1.4%
4 9
 
4.2%
3 20
9.3%
2 31
14.5%

w2_F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct6
Distinct (%)6.6%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean2.263736264
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.388261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.364918922
Coefficient of variation (CV)0.6029496208
Kurtosis0.7227464963
Mean2.263736264
Median Absolute Deviation (MAD)1
Skewness1.142261035
Sum206
Variance1.863003663
MonotonicityNot monotonic
2025-02-26T17:47:14.427652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 33
 
15.4%
2 28
 
13.1%
3 14
 
6.5%
4 9
 
4.2%
6 4
 
1.9%
5 3
 
1.4%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 33
15.4%
2 28
13.1%
3 14
6.5%
4 9
 
4.2%
5 3
 
1.4%
ValueCountFrequency (%)
6 4
 
1.9%
5 3
 
1.4%
4 9
 
4.2%
3 14
6.5%
2 28
13.1%

w2_F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct8
Distinct (%)8.8%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.351648352
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.463567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6.5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.669155651
Coefficient of variation (CV)0.4980103745
Kurtosis0.2970354734
Mean3.351648352
Median Absolute Deviation (MAD)1
Skewness0.6681976399
Sum305
Variance2.786080586
MonotonicityNot monotonic
2025-02-26T17:47:14.503001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 25
 
11.7%
4 20
 
9.3%
2 15
 
7.0%
1 13
 
6.1%
5 8
 
3.7%
6 5
 
2.3%
7 3
 
1.4%
8 2
 
0.9%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 13
6.1%
2 15
7.0%
3 25
11.7%
4 20
9.3%
5 8
 
3.7%
ValueCountFrequency (%)
8 2
 
0.9%
7 3
 
1.4%
6 5
 
2.3%
5 8
 
3.7%
4 20
9.3%

w2_F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.72826087
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.540347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.483263856
Coefficient of variation (CV)0.3978433667
Kurtosis0.6962324429
Mean3.72826087
Median Absolute Deviation (MAD)1
Skewness0.4821212452
Sum343
Variance2.200071667
MonotonicityNot monotonic
2025-02-26T17:47:14.578725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 24
 
11.2%
3 22
 
10.3%
5 20
 
9.3%
2 14
 
6.5%
1 5
 
2.3%
6 4
 
1.9%
8 3
 
1.4%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 5
 
2.3%
2 14
6.5%
3 22
10.3%
4 24
11.2%
5 20
9.3%
ValueCountFrequency (%)
8 3
 
1.4%
6 4
 
1.9%
5 20
9.3%
4 24
11.2%
3 22
10.3%

w2_F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.25
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.618310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.263389824
Coefficient of variation (CV)0.5615065882
Kurtosis0.5361885454
Mean2.25
Median Absolute Deviation (MAD)1
Skewness1.017306997
Sum207
Variance1.596153846
MonotonicityNot monotonic
2025-02-26T17:47:14.657716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 31
 
14.5%
2 30
 
14.0%
3 16
 
7.5%
4 9
 
4.2%
5 4
 
1.9%
6 2
 
0.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 31
14.5%
2 30
14.0%
3 16
7.5%
4 9
 
4.2%
5 4
 
1.9%
ValueCountFrequency (%)
6 2
 
0.9%
5 4
 
1.9%
4 9
 
4.2%
3 16
7.5%
2 30
14.0%

w2_F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.423913043
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.696737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4.45
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.188162268
Coefficient of variation (CV)0.4901835365
Kurtosis1.139821442
Mean2.423913043
Median Absolute Deviation (MAD)1
Skewness1.008657536
Sum223
Variance1.411729575
MonotonicityNot monotonic
2025-02-26T17:47:14.736616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 35
 
16.4%
3 23
 
10.7%
1 20
 
9.3%
4 9
 
4.2%
6 3
 
1.4%
5 2
 
0.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 20
9.3%
2 35
16.4%
3 23
10.7%
4 9
 
4.2%
5 2
 
0.9%
ValueCountFrequency (%)
6 3
 
1.4%
5 2
 
0.9%
4 9
 
4.2%
3 23
10.7%
2 35
16.4%

w2_F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.619565217
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.771799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.428457951
Coefficient of variation (CV)0.54530345
Kurtosis0.2785625187
Mean2.619565217
Median Absolute Deviation (MAD)1
Skewness0.9094780861
Sum241
Variance2.040492117
MonotonicityNot monotonic
2025-02-26T17:47:14.809904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 31
 
14.5%
1 21
 
9.8%
3 19
 
8.9%
4 9
 
4.2%
5 8
 
3.7%
6 3
 
1.4%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 21
9.8%
2 31
14.5%
3 19
8.9%
4 9
 
4.2%
5 8
 
3.7%
ValueCountFrequency (%)
7 1
 
0.5%
6 3
 
1.4%
5 8
3.7%
4 9
4.2%
3 19
8.9%

w2_F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct6
Distinct (%)6.5%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean1.923913043
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.848115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.131309614
Coefficient of variation (CV)0.5880253361
Kurtosis1.801618707
Mean1.923913043
Median Absolute Deviation (MAD)1
Skewness1.409081942
Sum177
Variance1.279861443
MonotonicityNot monotonic
2025-02-26T17:47:14.886669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 42
 
19.6%
2 29
 
13.6%
3 12
 
5.6%
4 5
 
2.3%
5 3
 
1.4%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 42
19.6%
2 29
13.6%
3 12
 
5.6%
4 5
 
2.3%
5 3
 
1.4%
ValueCountFrequency (%)
6 1
 
0.5%
5 3
 
1.4%
4 5
 
2.3%
3 12
5.6%
2 29
13.6%

w2_F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct8
Distinct (%)8.7%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.423913043
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.922031image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.659032524
Coefficient of variation (CV)0.6844439112
Kurtosis0.7846757121
Mean2.423913043
Median Absolute Deviation (MAD)1
Skewness1.140128387
Sum223
Variance2.752388915
MonotonicityNot monotonic
2025-02-26T17:47:14.961446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 40
 
18.7%
3 17
 
7.9%
2 14
 
6.5%
4 10
 
4.7%
5 5
 
2.3%
6 4
 
1.9%
7 1
 
0.5%
8 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 40
18.7%
2 14
 
6.5%
3 17
7.9%
4 10
 
4.7%
5 5
 
2.3%
ValueCountFrequency (%)
8 1
 
0.5%
7 1
 
0.5%
6 4
 
1.9%
5 5
2.3%
4 10
4.7%

w2_F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct8
Distinct (%)8.7%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.434782609
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:14.999126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.66610916
Coefficient of variation (CV)0.6842948335
Kurtosis1.761818084
Mean2.434782609
Median Absolute Deviation (MAD)1
Skewness1.36243853
Sum224
Variance2.775919732
MonotonicityNot monotonic
2025-02-26T17:47:15.039099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 37
 
17.3%
2 18
 
8.4%
3 17
 
7.9%
4 11
 
5.1%
6 3
 
1.4%
5 3
 
1.4%
8 2
 
0.9%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 37
17.3%
2 18
8.4%
3 17
7.9%
4 11
 
5.1%
5 3
 
1.4%
ValueCountFrequency (%)
8 2
 
0.9%
7 1
 
0.5%
6 3
 
1.4%
5 3
 
1.4%
4 11
5.1%

w2_F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.815217391
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.077342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5.45
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.481974832
Coefficient of variation (CV)0.5264157705
Kurtosis-0.2624222873
Mean2.815217391
Median Absolute Deviation (MAD)1
Skewness0.6570278981
Sum259
Variance2.196249403
MonotonicityNot monotonic
2025-02-26T17:47:15.113862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 26
 
12.1%
3 20
 
9.3%
1 19
 
8.9%
4 13
 
6.1%
5 9
 
4.2%
6 4
 
1.9%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 19
8.9%
2 26
12.1%
3 20
9.3%
4 13
6.1%
5 9
 
4.2%
ValueCountFrequency (%)
7 1
 
0.5%
6 4
 
1.9%
5 9
4.2%
4 13
6.1%
3 20
9.3%

w2_F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)8.7%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.151552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.677255739
Coefficient of variation (CV)0.5590852463
Kurtosis1.389631521
Mean3
Median Absolute Deviation (MAD)1
Skewness1.157023914
Sum276
Variance2.813186813
MonotonicityNot monotonic
2025-02-26T17:47:15.191102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 31
 
14.5%
2 20
 
9.3%
1 17
 
7.9%
4 10
 
4.7%
5 6
 
2.8%
6 3
 
1.4%
8 3
 
1.4%
7 2
 
0.9%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 17
7.9%
2 20
9.3%
3 31
14.5%
4 10
 
4.7%
5 6
 
2.8%
ValueCountFrequency (%)
8 3
 
1.4%
7 2
 
0.9%
6 3
 
1.4%
5 6
2.8%
4 10
4.7%

w2_F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct6
Distinct (%)6.6%
Missing123
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean1.769230769
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.231156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.096225069
Coefficient of variation (CV)0.6196054737
Kurtosis3.143185808
Mean1.769230769
Median Absolute Deviation (MAD)0
Skewness1.767872797
Sum161
Variance1.201709402
MonotonicityNot monotonic
2025-02-26T17:47:15.269485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 49
 
22.9%
2 26
 
12.1%
3 9
 
4.2%
4 3
 
1.4%
5 3
 
1.4%
6 1
 
0.5%
(Missing) 123
57.5%
ValueCountFrequency (%)
1 49
22.9%
2 26
12.1%
3 9
 
4.2%
4 3
 
1.4%
5 3
 
1.4%
ValueCountFrequency (%)
6 1
 
0.5%
5 3
 
1.4%
4 3
 
1.4%
3 9
 
4.2%
2 26
12.1%

w2_F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.163043478
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.305057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.369022864
Coefficient of variation (CV)0.632915093
Kurtosis2.928800099
Mean2.163043478
Median Absolute Deviation (MAD)1
Skewness1.511175283
Sum199
Variance1.874223602
MonotonicityNot monotonic
2025-02-26T17:47:15.345539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 38
 
17.8%
2 25
 
11.7%
3 15
 
7.0%
4 8
 
3.7%
5 4
 
1.9%
8 1
 
0.5%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 38
17.8%
2 25
11.7%
3 15
 
7.0%
4 8
 
3.7%
5 4
 
1.9%
ValueCountFrequency (%)
8 1
 
0.5%
6 1
 
0.5%
5 4
 
1.9%
4 8
3.7%
3 15
7.0%

w2_F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.184782609
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.383967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.45
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.421416627
Coefficient of variation (CV)0.6505986551
Kurtosis4.911573912
Mean2.184782609
Median Absolute Deviation (MAD)1
Skewness1.918566604
Sum201
Variance2.020425227
MonotonicityNot monotonic
2025-02-26T17:47:15.424592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 35
 
16.4%
2 30
 
14.0%
3 14
 
6.5%
4 8
 
3.7%
5 2
 
0.9%
8 2
 
0.9%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 35
16.4%
2 30
14.0%
3 14
 
6.5%
4 8
 
3.7%
5 2
 
0.9%
ValueCountFrequency (%)
8 2
 
0.9%
6 1
 
0.5%
5 2
 
0.9%
4 8
3.7%
3 14
6.5%

w2_F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct8
Distinct (%)8.7%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.456521739
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.463411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.653587797
Coefficient of variation (CV)0.6731419353
Kurtosis1.822992565
Mean2.456521739
Median Absolute Deviation (MAD)1
Skewness1.382479021
Sum226
Variance2.734352604
MonotonicityNot monotonic
2025-02-26T17:47:15.504183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 34
 
15.9%
2 23
 
10.7%
3 14
 
6.5%
4 12
 
5.6%
5 3
 
1.4%
6 3
 
1.4%
8 2
 
0.9%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 34
15.9%
2 23
10.7%
3 14
6.5%
4 12
 
5.6%
5 3
 
1.4%
ValueCountFrequency (%)
8 2
 
0.9%
7 1
 
0.5%
6 3
 
1.4%
5 3
 
1.4%
4 12
5.6%

w2_F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean2.869565217
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.542492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.638931515
Coefficient of variation (CV)0.5711428008
Kurtosis-0.273729238
Mean2.869565217
Median Absolute Deviation (MAD)1
Skewness0.6120203316
Sum264
Variance2.686096512
MonotonicityNot monotonic
2025-02-26T17:47:15.580944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 25
 
11.7%
2 18
 
8.4%
3 18
 
8.4%
4 14
 
6.5%
5 11
 
5.1%
6 5
 
2.3%
8 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 25
11.7%
2 18
8.4%
3 18
8.4%
4 14
6.5%
5 11
5.1%
ValueCountFrequency (%)
8 1
 
0.5%
6 5
 
2.3%
5 11
5.1%
4 14
6.5%
3 18
8.4%

w2_F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct7
Distinct (%)7.6%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean3.02173913
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.618630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.60341847
Coefficient of variation (CV)0.5306276949
Kurtosis-0.7263777988
Mean3.02173913
Median Absolute Deviation (MAD)1
Skewness0.3726165133
Sum278
Variance2.570950788
MonotonicityNot monotonic
2025-02-26T17:47:15.654309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 22
 
10.3%
1 22
 
10.3%
4 17
 
7.9%
2 14
 
6.5%
5 9
 
4.2%
6 7
 
3.3%
7 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 22
10.3%
2 14
6.5%
3 22
10.3%
4 17
7.9%
5 9
4.2%
ValueCountFrequency (%)
7 1
 
0.5%
6 7
 
3.3%
5 9
4.2%
4 17
7.9%
3 22
10.3%

w2_F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct5
Distinct (%)5.4%
Missing122
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean1.967391304
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.691108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.063387568
Coefficient of variation (CV)0.5405063882
Kurtosis0.9428203086
Mean1.967391304
Median Absolute Deviation (MAD)1
Skewness1.018904161
Sum181
Variance1.13079312
MonotonicityNot monotonic
2025-02-26T17:47:15.729523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 40
 
18.7%
2 25
 
11.7%
3 19
 
8.9%
4 7
 
3.3%
6 1
 
0.5%
(Missing) 122
57.0%
ValueCountFrequency (%)
1 40
18.7%
2 25
11.7%
3 19
8.9%
4 7
 
3.3%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
4 7
 
3.3%
3 19
8.9%
2 25
11.7%
1 40
18.7%

w2_interviewtime
Real number (ℝ)

interviewtime

Distinct213
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean909.6870093
Minimum0
Maximum8171.24
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.774785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile441.129
Q1598.245
median734.575
Q3951.335
95-th percentile1995.306
Maximum8171.24
Range8171.24
Interquartile range (IQR)353.09

Descriptive statistics

Standard deviation750.4568817
Coefficient of variation (CV)0.8249616341
Kurtosis45.50572841
Mean909.6870093
Median Absolute Deviation (MAD)179.49
Skewness5.692308566
Sum194673.02
Variance563185.5313
MonotonicityNot monotonic
2025-02-26T17:47:15.829515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
0.9%
983.32 1
 
0.5%
503.56 1
 
0.5%
1539.94 1
 
0.5%
623.13 1
 
0.5%
1039.15 1
 
0.5%
345.99 1
 
0.5%
492.17 1
 
0.5%
834.87 1
 
0.5%
464.75 1
 
0.5%
Other values (203) 203
94.9%
ValueCountFrequency (%)
0.0 2
0.9%
297.28 1
0.5%
308.07 1
0.5%
332.94 1
0.5%
345.99 1
0.5%
ValueCountFrequency (%)
8171.24 1
0.5%
4818.9 1
0.5%
4141.88 1
0.5%
3096.6 1
0.5%
2903.58 1
0.5%

w2_GT_A1
Real number (ℝ)

Distinct210
Distinct (%)99.1%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean213.5911321
Minimum35.57
Maximum7690.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:15.884137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum35.57
5-th percentile58.816
Q190.0875
median124.14
Q3178.195
95-th percentile357.462
Maximum7690.1
Range7654.53
Interquartile range (IQR)88.1075

Descriptive statistics

Standard deviation599.2620443
Coefficient of variation (CV)2.805650396
Kurtosis122.8678544
Mean213.5911321
Median Absolute Deviation (MAD)40.78
Skewness10.562433
Sum45281.32
Variance359114.9978
MonotonicityNot monotonic
2025-02-26T17:47:16.005699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.18 2
 
0.9%
56.63 2
 
0.9%
97.29 1
 
0.5%
217.74 1
 
0.5%
106.87 1
 
0.5%
124.97 1
 
0.5%
37.83 1
 
0.5%
86.02 1
 
0.5%
185.03 1
 
0.5%
77.4 1
 
0.5%
Other values (200) 200
93.5%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
35.57 1
0.5%
37.83 1
0.5%
41.74 1
0.5%
45.81 1
0.5%
46.73 1
0.5%
ValueCountFrequency (%)
7690.1 1
0.5%
3972.43 1
0.5%
1736.11 1
0.5%
969.34 1
0.5%
828.86 1
0.5%

w2_GT_A2
Real number (ℝ)

Distinct197
Distinct (%)92.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean18.56650943
Minimum5.63
Maximum302.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.061190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.63
5-th percentile8.351
Q110.9125
median13.35
Q316.6375
95-th percentile38.276
Maximum302.48
Range296.85
Interquartile range (IQR)5.725

Descriptive statistics

Standard deviation25.66060244
Coefficient of variation (CV)1.38209083
Kurtosis75.38387665
Mean18.56650943
Median Absolute Deviation (MAD)2.86
Skewness7.767968034
Sum3936.1
Variance658.4665176
MonotonicityNot monotonic
2025-02-26T17:47:16.119843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.31 3
 
1.4%
14.04 2
 
0.9%
12.45 2
 
0.9%
11.22 2
 
0.9%
12.32 2
 
0.9%
12.29 2
 
0.9%
12.16 2
 
0.9%
14.86 2
 
0.9%
7.57 2
 
0.9%
13.91 2
 
0.9%
Other values (187) 191
89.3%
ValueCountFrequency (%)
5.63 1
0.5%
6.75 1
0.5%
7.1 1
0.5%
7.57 2
0.9%
7.99 1
0.5%
ValueCountFrequency (%)
302.48 1
0.5%
146.38 1
0.5%
117.41 1
0.5%
109.99 1
0.5%
85.85 1
0.5%

w2_GT_B
Real number (ℝ)

Distinct212
Distinct (%)100.0%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean63.79188679
Minimum20.01
Maximum1450.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.177989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum20.01
5-th percentile28.2545
Q138.035
median46.465
Q357.3425
95-th percentile92.3065
Maximum1450.1
Range1430.09
Interquartile range (IQR)19.3075

Descriptive statistics

Standard deviation116.3473903
Coefficient of variation (CV)1.82385874
Kurtosis108.5789406
Mean63.79188679
Median Absolute Deviation (MAD)9.81
Skewness9.946925051
Sum13523.88
Variance13536.71522
MonotonicityNot monotonic
2025-02-26T17:47:16.234107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.89 1
 
0.5%
45.43 1
 
0.5%
46.19 1
 
0.5%
20.01 1
 
0.5%
30.33 1
 
0.5%
31.14 1
 
0.5%
31.86 1
 
0.5%
61.61 1
 
0.5%
42.54 1
 
0.5%
37.96 1
 
0.5%
Other values (202) 202
94.4%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
20.01 1
0.5%
20.13 1
0.5%
21.11 1
0.5%
22.82 1
0.5%
22.95 1
0.5%
ValueCountFrequency (%)
1450.1 1
0.5%
903.95 1
0.5%
244.85 1
0.5%
222.27 1
0.5%
212.6 1
0.5%

w2_GT_C
Real number (ℝ)

Distinct212
Distinct (%)100.0%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean295.7933491
Minimum90.11
Maximum3606.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.286167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum90.11
5-th percentile144.0965
Q1191.885
median236.77
Q3312.145
95-th percentile574.0655
Maximum3606.71
Range3516.6
Interquartile range (IQR)120.26

Descriptive statistics

Standard deviation287.3568413
Coefficient of variation (CV)0.9714783724
Kurtosis89.03438734
Mean295.7933491
Median Absolute Deviation (MAD)55.34
Skewness8.429501266
Sum62708.19
Variance82573.95425
MonotonicityNot monotonic
2025-02-26T17:47:16.338812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172.89 1
 
0.5%
186.96 1
 
0.5%
510.43 1
 
0.5%
94.46 1
 
0.5%
170.18 1
 
0.5%
230.21 1
 
0.5%
220.6 1
 
0.5%
360.71 1
 
0.5%
176.2 1
 
0.5%
293.78 1
 
0.5%
Other values (202) 202
94.4%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
90.11 1
0.5%
94.46 1
0.5%
107.94 1
0.5%
108.84 1
0.5%
110.39 1
0.5%
ValueCountFrequency (%)
3606.71 1
0.5%
1987.72 1
0.5%
863.63 1
0.5%
834.94 1
0.5%
779.78 1
0.5%

w2_GT_D
Real number (ℝ)

Distinct211
Distinct (%)99.5%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean98.59811321
Minimum7.95
Maximum671.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.390449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.95
5-th percentile10.862
Q121.25
median88.93
Q3128.0975
95-th percentile252.306
Maximum671.78
Range663.83
Interquartile range (IQR)106.8475

Descriptive statistics

Standard deviation97.48875356
Coefficient of variation (CV)0.9887486726
Kurtosis12.21414001
Mean98.59811321
Median Absolute Deviation (MAD)55.435
Skewness2.832902984
Sum20902.8
Variance9504.05707
MonotonicityNot monotonic
2025-02-26T17:47:16.442932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.96 2
 
0.9%
88.23 1
 
0.5%
116.96 1
 
0.5%
118.26 1
 
0.5%
129.64 1
 
0.5%
7.95 1
 
0.5%
80.92 1
 
0.5%
115.27 1
 
0.5%
18.79 1
 
0.5%
114.45 1
 
0.5%
Other values (201) 201
93.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
7.95 1
0.5%
8.56 1
0.5%
8.65 1
0.5%
9.09 1
0.5%
9.44 1
0.5%
ValueCountFrequency (%)
671.78 1
0.5%
650.18 1
0.5%
567.77 1
0.5%
425.46 1
0.5%
368.29 1
0.5%

w2_GT_E
Real number (ℝ)

Distinct210
Distinct (%)99.1%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean101.0538679
Minimum13.54
Maximum1346.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.495453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum13.54
5-th percentile40.137
Q156.8
median70.205
Q395.1325
95-th percentile177.401
Maximum1346.41
Range1332.87
Interquartile range (IQR)38.3325

Descriptive statistics

Standard deviation149.7485784
Coefficient of variation (CV)1.481868843
Kurtosis45.94700456
Mean101.0538679
Median Absolute Deviation (MAD)17.675
Skewness6.434913861
Sum21423.42
Variance22424.63672
MonotonicityNot monotonic
2025-02-26T17:47:16.550031image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.34 2
 
0.9%
46.07 2
 
0.9%
47.21 1
 
0.5%
119.3 1
 
0.5%
57.6 1
 
0.5%
78.44 1
 
0.5%
31.69 1
 
0.5%
49.23 1
 
0.5%
99.03 1
 
0.5%
38.78 1
 
0.5%
Other values (200) 200
93.5%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
13.54 1
0.5%
27.04 1
0.5%
27.92 1
0.5%
29.5 1
0.5%
31.69 1
0.5%
ValueCountFrequency (%)
1346.41 1
0.5%
1309.59 1
0.5%
767.38 1
0.5%
765.09 1
0.5%
652.24 1
0.5%

w2_GT_F
Real number (ℝ)

Distinct210
Distinct (%)99.1%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean126.8741038
Minimum6.1
Maximum1384.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:47:16.599954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile59.816
Q180.7075
median99.93
Q3129.6
95-th percentile223.448
Maximum1384.94
Range1378.84
Interquartile range (IQR)48.8925

Descriptive statistics

Standard deviation138.1642672
Coefficient of variation (CV)1.088987139
Kurtosis51.47683561
Mean126.8741038
Median Absolute Deviation (MAD)22.795
Skewness6.705614849
Sum26897.31
Variance19089.36474
MonotonicityNot monotonic
2025-02-26T17:47:16.652076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.16 2
 
0.9%
80.58 2
 
0.9%
122.73 1
 
0.5%
105.0 1
 
0.5%
44.06 1
 
0.5%
67.11 1
 
0.5%
162.08 1
 
0.5%
64.78 1
 
0.5%
124.44 1
 
0.5%
84.11 1
 
0.5%
Other values (200) 200
93.5%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
6.1 1
0.5%
36.92 1
0.5%
42.92 1
0.5%
43.95 1
0.5%
44.06 1
0.5%
ValueCountFrequency (%)
1384.94 1
0.5%
1127.78 1
0.5%
984.73 1
0.5%
475.48 1
0.5%
341.57 1
0.5%